- Fruškogorska 1, Novi Sad, Serbia
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Computer simulations have become a very powerful tool for scientific research. Given the vast complexity that comes with many open scientific questions, a purely analytical or experimental approach is often not viable. For example,... more
Computer simulations have become a very powerful tool for scientific research. Given the vast complexity that comes with many open scientific questions, a purely analytical or experimental approach is often not viable. For example, biological systems comprise an extremely complex organization and heterogeneous interactions across different spatial and temporal scales. In order to facilitate research on such problems, the BioDynaMo project aims at a general platform for computer simulations for biological research. Since scientific investigations require extensive computer resources, this platform should be executable on hybrid cloud computing systems, allowing for the efficient use of state-of-the-art computing technology. This chapter describes challenges during the early stages of the software development process. In particular, we describe issues regarding the implementation and the highly interdisciplinary as well as international nature of the collaboration. Moreover, we explain the methodologies, the approach, and the lessons learned by the team during these first stages.
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In this paper I present the perspectives of the “neuropunk revolution” technologies. One could understand the “neuropunk revolution” as the integration of real-time neurosimulations into biological nervous/motor system via... more
In this paper I present the perspectives of the “neuropunk revolution” technologies. One could understand the “neuropunk revolution” as the integration of real-time neurosimulations into biological nervous/motor system via neurostimulation or artificial robotic systems via integration with actuators. I see the added value of the real-time neurosimulations as bridge technology for the set of developed technologies: BCI, neuroprosthetics, AI, robotics to provide bio-compatible integration into biological or artificial limbs. Here I present the three types of integration of the “neuropunk revolution” technologies as inbound, outbound and closed-loop in-outbound systems. I see the shift of the perspective how we see now the set of technologies including AI, BCI, neuroprosthetics and robotics due to the proposed concept for example the integration of external to a body simulated part of nervous system back into the biological nervous system or muscles.
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The central pattern generator (CPG) is one of the key elements of the nervous system of Vertebrates, determining the motor, breathing, swallowing, etc. cyclic motor patterns of a living organism, which require constant maintenance and... more
The central pattern generator (CPG) is one of the key elements of the nervous system of Vertebrates, determining the motor, breathing, swallowing, etc. cyclic motor patterns of a living organism, which require constant maintenance and prompt (or immediate) recovery in the case of injury. In this context, the construction of neuroprosthetic systems requires the development of electronic analogs (the corresponding CPGs). It is proposed to use memristive devices as adaptive elements with continuous tunable characteristics in these systems, because they exhibit a property, similar to bio-synaptic plasticity. The CPG model is developed, which yields an output activity, similar to that of biological objects. The requirements for the temporal characteristics of tunable elements for their successful use as artificial synapses are also specified. Memristive devices of a new type are fabricated according to the Langmuir–Schaefer technique using benzothieno[3,2-b] [1]-benzothiophene (BTBT) dimer as an active layer. BTBT-based devices make it possible to switch the conductivity at low voltages and currents, which is important in the development of energy-efficient neuroprosthetic systems, and the characteristic switching times are about several hundred milliseconds, which indicates that they can be used as analogs of synapses upon instrumental realization of the CPG.
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In this paper, we provide a brief description of currently existing neural interfaces such as a brain–machine interface, machine–brain interface and bidirectional brain–computer–brain interface. Nevertheless, our aim is not only to... more
In this paper, we provide a brief description of currently existing neural interfaces such as a brain–machine interface, machine–brain interface and bidirectional brain–computer–brain interface. Nevertheless, our aim is not only to provide a review of the current state of the art in these technologies but also to include a philosophical analysis of their fundamental role in the evolution and transformation of cognitive sciences. Also we will show the advantages and disadvantages of different degrees of interface invasiveness. We will highlight the general design schema of them.
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The effect of inhibitory management is usually underestimated in artificial control systems, using biological analogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio-plausible... more
The effect of inhibitory management is usually underestimated in artificial control systems, using biological analogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio-plausible patterns. We proposed an approach for the compensatory stimulation device as implementation of previously presented architecture of the neurointerface, where (1) the neuroport is implemented as a DAC and stimulator, (2) neuroterminal is used for neurosimulation of a set of oscillator motifs on one-board computer. In the set of experiments with five volunteers, we measured the efficacy of motor neuron inhibition via the antagonist muscle or nerve stimulation registering muscle force with and without antagonist stimulation. For the agonist activation, we used both voluntary activity and electrical stimulation. In the case of stimulation of both the agonist and the antagonist muscles and nerves, we experimented with delays between muscle stimulation in t...
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This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in... more
This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic technologies including memristive and bio-plausible simulations, BCI, and neurointerfaces as well as unconventional approaches to AI and computing in general. We present the review of the current state-of-the-art and our vision of near future development of scientific approaches and future technologies. We call the "Neuropunk revolution" the set of trends that in our view provide the necessary background for the new generation of approaches technologies to integrate the cybernetic objects with biological tissues in close loop system as well as robotic systems inspired by the biological processes again integrated with biological objects. We see bio-plausible simulations implemented by digital computers or spiking networks memristive hardware as promising bridge or middleware between digital and (neuro)biological domains.
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Existing methods of neurorehabilitation include invasive or non-invasive stimulators that are usually simple digital generators with manually set parameters like pulse width, period, burst duration, and frequency of stimulation series. An... more
Existing methods of neurorehabilitation include invasive or non-invasive stimulators that are usually simple digital generators with manually set parameters like pulse width, period, burst duration, and frequency of stimulation series. An obvious lack of adaptation capability of stimulators, as well as poor biocompatibility and high power consumption of prosthetic devices, highlights the need for medical usage of neuromorphic systems including memristive devices. The latter are electrical devices providing a wide range of complex synaptic functionality within a single element. In this study, we propose the memristive schematic capable of self-learning according to bio-plausible spike-timing-dependant plasticity to organize the electrical activity of the walking pattern generated by the central pattern generator.
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Familial hemiplegic migraine type 3 (FHM3) is caused by gain-of-function mutations in the SCN1A gene that encodes the α1 subunit of voltage-gated NaV1.1 sodium channels. The high level of expression of NaV1.1 channels in peripheral... more
Familial hemiplegic migraine type 3 (FHM3) is caused by gain-of-function mutations in the SCN1A gene that encodes the α1 subunit of voltage-gated NaV1.1 sodium channels. The high level of expression of NaV1.1 channels in peripheral trigeminal neurons may lead to abnormal nociceptive signaling thus contributing to migraine pain. NaV1.1 dysfunction is relevant also for other neurological disorders, foremost epilepsy and stroke that are comorbid with migraine. Here we used computer modeling to test the functional role of FHM3-mutated NaV1.1 channels in mechanisms of trigeminal pain. The activation of Aδ-fibers was studied for two algogens, ATP and 5-HT, operating through P2X3 and 5-HT3 receptors, respectively, at trigeminal nerve terminals. In WT Aδ-fibers of meningeal afferents, NaV1.1 channels efficiently participate in spike generation induced by ATP and 5-HT supported by NaV1.6 channels. Of the various FHM3 mutations tested, the L263V missense mutation, with a longer activation sta...
Software engineering is at the very start of it’s automation. There are a lot of helpers, code-generators, IDE-s and so on that does not really help to automate the complete software development life-circle from Functional requirements... more
Software engineering is at the very start of it’s automation. There are a lot of helpers, code-generators, IDE-s and so on that does not really help to automate the complete software development life-circle from Functional requirements specification till the actual code. We explore the idea to generate the actual software solution using standard Functional requirements specification, change request or bug-report in three main modules: linguistic, perceiving and solution generation with heavily used knowledge base in OWL (web ontology language).
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Research Interests: Computer Science, Software Engineering, Data Mining, Software Development, AI, and 9 moreComputational Linguistics & NLP, Artificial Intelligent, Data Mining – Concepts and Techniques, Non Functional Requirement, Code Generation, Probabilistic reasoning, Knowledge base, Source Code, and Learning System
This paper is a brief update on developments in the BioDynaMo project, a new platform for computer simulations for biological research. We will discuss the new capabilities of the simulator, important new concepts simulation methodology... more
This paper is a brief update on developments in the BioDynaMo project, a new platform for computer simulations for biological research. We will discuss the new capabilities of the simulator, important new concepts simulation methodology as well as its numerous applications to the computational biology and nanoscience communities.
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The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as... more
The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To "rehabilitate" the slime mould from the rank of a purely living electronics element to a "creature of thoughts" we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks suh as Lyons biogenic cognition, Muller, di Primio-Lengelerś modifiable pathways, Bateson's "patterns tha...
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Extracellular ATP and serotonin (5-HT) are powerful triggers of nociceptive firing in the meninges, a process supporting headache and whose cellular mechanisms are incompletely understood. The current study aimed to develop, with the... more
Extracellular ATP and serotonin (5-HT) are powerful triggers of nociceptive firing in the meninges, a process supporting headache and whose cellular mechanisms are incompletely understood. The current study aimed to develop, with the neurosimulator NEURON, a novel approach to explore in silico the molecular determinants of the long-lasting, pulsatile nature of migraine attacks. The present model included ATP and 5-HT release, ATP diffusion and hydrolysis, 5-HT uptake, differential activation of ATP P2X or 5-HT3 receptors, and receptor subtype-specific desensitization. The model also tested the role of branched meningeal fibers with multiple release sites. Spike generation and propagation were simulated using variable contribution by potassium and sodium channels in a multi-compartment fiber environment. Multiple factors appeared important to ensure prolonged nociceptive firing potentially relevant to long-lasting pain. Crucial roles were observed in: (i) co-expression of ATP P2X2 and P2X3 receptor subunits; (ii) intrinsic activation/inactivation properties of sodium Nav1.8 channels; and (iii) temporal and spatial distribution of ATP/5-HT release sites along the branches of trigeminal nerve fibers. Based on these factors we could obtain either persistent activation of nociceptive firing or its periodic bursting mimicking the pulsating nature of pain. In summary, our model proposes a novel tool for the exploration of peripheral nociception to test the contribution of clinically relevant factors to headache including migraine pain.
In this paper we present a new computational bio-inspired approach. We use the three-dimensional model of emotions created by the Hugo Lovheim “cube of emotions” and validated it via neurosimulation in NEST. We present a computational... more
In this paper we present a new computational bio-inspired approach. We use the three-dimensional model of emotions created by the Hugo Lovheim “cube of emotions” and validated it via neurosimulation in NEST. We present a computational model that bridges psycho-emotional states with computational processes as the extension of the model “cube of emotions.” Results of the neurosimulation indicate the incremental influence of dopamine over computational resources used for the computation of a simulation of a psycho-emotional state as well as noradrenaline modulation of the dopamine system, whereas in contrast serotonin decreases the computational resources used to calculate the simulation of a psycho-emotional state. These results indicate the overall correctness of the neuro-mimetic approaches of artificial cognition that not only are feasible but also offer new and unique ways of designing computing architectures with special performing potential.
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ABSTRACT Construction of machine understanding is definitely the challenge. There are several technologies used widely. Cur-rently mainstream applications uses machine operatable knowl-edge bases, for example Wolfram Alpha[?] to support... more
ABSTRACT Construction of machine understanding is definitely the challenge. There are several technologies used widely. Cur-rently mainstream applications uses machine operatable knowl-edge bases, for example Wolfram Alpha[?] to support simple dialogue and operate devices. Newer the less those approaches do not create machine understanding of even primitive incidents. We tried new approach based on assumption that human under-standing is tightly coupled with human thinking itself. We used thinking model described in Marvin Minsky book "The emotion machine"[?]. I. THE EMOTION MACHINE THINKING MODEL A. 6 thinking levels Marvin Minsky introduces the thinking as layered model that contains 6 layers: • Instinctive Reactions: Joan hears a sound and turns her head. All animals are born equipped with "instincts" that help them to survive. • Learned Reactions: She sees a quickly oncoming car. Joan had to learn that conditions like this demand specific ways to react. • Deliberative Thinking: To decide what to say at the meeting, she considers several alternatives, and tries to decide which would be best. • Reflective Thinking: Joan reflects upon what she has done. She reacts, not just to things in things in the world, but also to recent events in her brain. • Self-Reflective Thinking: Being "uneasy about arriving late" requires her to keep track of the plans that she's made for herself. • Self-Conscious Thinking: When asking what her friends think of her, she also asks how her actions concord with ideals she has set for herself. Each upper layer controls lower layers, and is based on constructs and uses signals of lower layers as input. In other words the top level Self-Conscious Thinking controls Self-Reflective Thinking, Reflective, e.t.c. In our implementation currently we do not use Instinctive Reactions, but using of it is planned for future. B. Selector, Critic, Way to think triple
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In this position paper we propose the approach to use “Thinking-Understanding” architecture for the management of the real-time operated robotic system. Based on the “Robot dream” architecture, the robotic system digital input is been... more
In this position paper we propose the approach to use “Thinking-Understanding” architecture for the management of the real-time operated robotic system. Based on the “Robot dream” architecture, the robotic system digital input is been translated in form of “pseudo-spikes” and provided to a simulated spiking neural network, then elaborated and fed back to a robotic system as updated behavioural strategy rules. We present the reasoning rule-based system for intelligent spike processing translating spikes into software actions or hardware signals is thus specified. The reasoning is based on pattern matching mechanisms that activates critics that in their turn activates other critics or ways to think inherited from the work of Marvin Minsky “The emotion machine” [7].
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This paper introduces a new model of artificial cognitive architecture for intelligent systems, the Neuromodulating Cognitive Architecture (NEUCOGAR). The model is biomimetically inspired and adapts the neuromodulators role of human... more
This paper introduces a new model of artificial cognitive architecture for intelligent systems, the Neuromodulating Cognitive Architecture (NEUCOGAR). The model is biomimetically inspired and adapts the neuromodulators role of human brains into computational environments. This way we aim at achieving more efficient Artificial Intelligence solutions based on the biological inspiration of the deep functioning of human brain, which is highly emotional. The analysis of new data obtained from neurology, psychology philosophy and anthropology allows us to generate a mapping of monoamine neuromodulators and to apply it to computational system parameters. Artificial cognitive systems can then better perform complex tasks (regarding information selection and discrimination, attention, innovation, creativity,…) as well as engaging in affordable emotional relationships with human users.
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In this technical report we present novel results of the dopamine neuromodulation inspired modulation of a polyaniline (PANI) memristive device excitatory learning STDP. Results presented in this work are of two experiments setup computer... more
In this technical report we present novel results of the dopamine neuromodulation inspired modulation of a polyaniline (PANI) memristive device excitatory learning STDP. Results presented in this work are of two experiments setup computer simulation and physical prototype experiments. We present physical prototype of inhibitory learning or iSTDP as well as the results of iSTDP learning.
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Abstract This work aims at demonstrating that the neuromodulatory mechanisms that control the emotional states of mammals (specifically rat’s brains) can be represented and re-implemented in a computational model processed by a machine.... more
Abstract This work aims at demonstrating that the neuromodulatory mechanisms that control the emotional states of mammals (specifically rat’s brains) can be represented and re-implemented in a computational model processed by a machine. In particular we specifically focus on two neuro-transmitters, serotonin and dopamine, starting from their fundamental role in basic cognitive processes. In our specific implementation, we represent the simulation of the ‘disgust-like’ state based on the three dimensional neuromodulatory model of affects or emotions, according to the ‘cube of emotions’. These functional mechanisms can be transferred into an artificial cognitive system: inhibition, for example, can elicit a blocking behaviour that, depending on its intensity and duration, can push the system to a general emotional state. We have simulated 1000 milliseconds of the serotonin and dopamine systems using NEST Neural Simulation Tool with the rat brain as the model to artificially reproduce this mechanism on a computational system.
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The purpose of this chapter is to delineate a naturalistic approach to consciousness. This bioinspired method does not try to emulate into a 1:1 scale real mechanisms but instead of it, we capture some basic brain mechanisms prone to be... more
The purpose of this chapter is to delineate a naturalistic approach to consciousness. This bioinspired method does not try to emulate into a 1:1 scale real mechanisms but instead of it, we capture some basic brain mechanisms prone to be implemented into computational frameworks. Consequently, we adopt a functional view on consciousness, considering consciousness as one among other cognitive mechanisms useful for survival purposes in natural environments. Specifically, we wish to capture those mechanisms related to decision-making processes employed by brains in order to produce adaptive answer to the environment, because this is the main reason for the emergence and purpose of consciousness.
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In this paper we present the following hypothesis: the neuromodulatory mechanisms that control the emotional states of mammals could be translated and re-implemented in a computer by means of controlling the computational performance of a... more
In this paper we present the following hypothesis: the neuromodulatory mechanisms that control the emotional states of mammals could be translated and re-implemented in a computer by means of controlling the computational performance of a hosted computational system. In our specific implementation we represent the simulation of the fear-like state based on the three dimensional neuromodulatory model of affects (here the basic emotional inborn states) that we have inherited from works of Hugo Lovheim. We have managed to simulate 1000 ms of work of the dopamine system using NEST Neural Simulation Tool and the rat brain as the model. We also present the results of that simulation and evaluate them to validate the overall correctness of our hypothesis.
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We describe an architecture, realization of intellectual system for automatic inci-dent processing. We indicate requirements and assumption for creating such sys-tems. In addition, we present result of prototype work
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How can we make machines actually feel emotions? Is there any option to make AI suffer, feel happiness, love, aggression, contempt, awe? Before we could find proper answer to this question we should be take in account several aspects:... more
How can we make machines actually feel emotions? Is there any option to make AI suffer, feel happiness, love, aggression, contempt, awe? Before we could find proper answer to this question we should be take in account several aspects: psychological as overall picture of low level and high level subjective emotions, neurophysiological as low level objective mechanism of brain response and cognitive architecture to put all these approaches in. We propose framework for emotional thinking implementation in computational spiking neurons based on Lovheim ``Cube of emotions'', Plutchik ``Wheel of emotions'', Tomkins ``Theory of affects'' and combine this theories in the cognitive architecture environment of ``The emotion machine'' of Marvin Minsky. We propose mechanisms of emotions influence on computational processes via neuromodulation.
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There is are a lot of applications in Software Engineering already created and most of them require maintenance of an IT personal, for example: bug fixing, change requests, etc (according to statistics). There are numbers of companies... more
There is are a lot of applications in Software Engineering already created and most of them require maintenance of an IT personal, for example: bug fixing, change requests, etc (according to statistics). There are numbers of companies that work in IT outsourcing business model providing maintenance for software of third party companies. There are also a huge number of IT specialists that fix bugs every day or help user as IT support specialists (for example: remote software installation). In other words day-by-day they perform routine tasks. In this paper, we explore the idea of incident processing automation: starting with processing requests in natural language and ending with incident resolution. Our goal is to implement this automation approach using machine understanding mechanism. We like to reuse open-source solutions in our project, as much as we can. We use Minsky’s thinking model, from his book The Emotion machine[1]. Natural language processor is the RelEx.
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How can we make machines actually feel emotions? Is there any option to make AI suffer, feel happiness, love, aggression, contempt, awe? Before we could find proper answer to this question we should take in account several aspects:... more
How can we make machines actually feel emotions? Is there any option to make AI suffer, feel happiness, love, aggression, contempt, awe? Before we could find proper answer to this question we should take in account several aspects: philosophical, psychological, neurophysiological and cogni-tive architecture combine these theories. We propose mapping of neuromodulators on computational processes that could be used as framework for affective computation based on Lövheim "Cube of emotions" [17] , Plutchik "Wheel of emotions" [25], Tomkins "Theory of affects" [13] and combine this theories in the cognitive architecture of "The emotion machine" by Marvin Minsky [21]. In other words we propose a mechanism of affects (emotions) as neuromodulatory influence on compu-tational processes.
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The main goal of our work is to test the feasibility study of automation of incident processing in Infrastructure as Service domain to optimize the operational costs of management services that are delivered remotely. This paper also... more
The main goal of our work is to test the feasibility study of automation of incident processing in Infrastructure as Service domain to optimize the operational costs of management services that are delivered remotely. This paper also describes a framework that authors have developed to deliver an integrated incident, problem solution and resolution approach as an event-driven Automated Incident Solving System, for Remote Infrastructure Management (RIM) Model. Current approaches are mainly automated scripts, but this is a specific approach for one specific problem. Those systems can’t think. Our approach is a system that exploits a thinking model thus can think and can learn. In other words system is capable of recombining its knowledge to solve new problems. Based on Minsky [11] thinking model we have created a machine understanding prototype which is capable of learning and understanding primitive incident description texts.
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Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the idea of 'intelligence' is itself emotional rather than mathematical” (Turing,... more
Turing genius anticipated current research in AI field for 65 years and stated that idea of intelligent machines “cannot be wholly ignored, because the idea of 'intelligence' is itself emotional rather than mathematical” (Turing, 1948). The authors' work is dedicated to construction or synthesis of computational emotional thinking. The authors used 3 bases for their work: AI - six thinking levels model described in book “The emotion machine” (Minsky, 2007). Evolutionary psychology model of emotions that is called “Wheel of emotions” (Plutchik, 2001), the authors used as subjective perception model. Neuroscience (neurotransmission) theory of emotions by Lovheim “Cube of emotions” (Lovheim, 2012) was used as objective brain emotional response model. Based on neurotransmitters impact the authors propose to model emotional computing systems. Overall presented work is synthesis of several emotional/affective theories to produce a model of emotions and affective mechanisms tha...
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The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as... more
The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To "rehabilitate" the slime mould from the rank of a purely living electronics element to a "creature of thoughts" we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks suh as Lyon's biogenic cognition, Muller, di Primio-Lengeler\'s modifiable pathways, Bateson's "p...
Computer simulations have become a very powerful tool for scientific research. In order to facilitate research in computational biology, the BioDynaMo project aims at a general platform for biological computer simulations, which should be... more
Computer simulations have become a very powerful tool for scientific research. In order to facilitate research in computational biology, the BioDynaMo project aims at a general platform for biological computer simulations, which should be executable on hybrid cloud computing systems. This paper describes challenges and lessons learnt during the early stages of the software development process, in the context of implementation issues and the international nature of the collaboration.
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In this technical report we present novel results of the dopamine bio-plausible neuromodulation excitatory (eSTDP) and inhibitory (iSTDP) learning. We present the principal schematic for the neuromodulation of D1 and D2 receptors of... more
In this technical report we present novel results of the dopamine bio-plausible neuromodulation excitatory (eSTDP) and inhibitory (iSTDP) learning. We present the principal schematic for the neuromodulation of D1 and D2 receptors of dopamine, wiring schematic for both cases as well as the simulatory experiments results done in LTSpice.
Research Interests: Mathematics and Biology
In my talk I will discuss the AI and brain-computer interface (BCI) technologies overview in the context of integration with robotic and biological systems starting from classical Rosenblatt perceptron till current breaking through... more
In my talk I will discuss the AI and brain-computer interface (BCI) technologies overview in the context of integration with robotic and biological systems starting from classical Rosenblatt perceptron till current breaking through technologies of BCI that could change the scientific outlook of the field. This is what we currently broadly call now AI and neurotechnology. Two bright examples are ResNet inspired by the projections of a mammalian cortical column and U-Net with close to ResNet ideas and topology. The other interesting cortical column inspired NN architecture is hierarchical temporal memory introduced by the Numenta company. These brain or neuro inspired approaches are widely used in machine learning, computer vision, natural language processing, path planning and broader in robotics.In the neurotechnology field I want to reference a lot of interesting and projects dedicated to BCI. Starting from works of Miguel Nicolelis where researchers connected the robotic hand via ...
Intelligent search in the digital libraries is very important. It is very important for efficient research to obtain relevant information quickly. In the paper, we propose methods for automatic processing of online resources for the... more
Intelligent search in the digital libraries is very important. It is very important for efficient research to obtain relevant information quickly. In the paper, we propose methods for automatic processing of online resources for the institution library using scanned copies or/and pdf files to make MathML model and provide extended search capacity. The key idea is to use Thinking–Understanding framework to provide automatic document-type detection and processing using the thinking flow to combine different open-source engines like OCR and approaches like Word2vec.
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The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as... more
The slime mould Physarum polycephalum has been used in developing unconventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To "rehabilitate" the slime mould from the rank of a purely living electronics element to a "creature of thoughts" we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks suh as Lyon's biogenic cognition, Muller, di Primio-Lengeler\'s modifiable pathways, Bateson's "p...
—In this paper, we present a novel approach to model and re-implement the noradrenaline influence in a bio-plausible manner suitable for the modelling of emotions in a computational system. We have upgraded our previous bio-inspired... more
—In this paper, we present a novel approach to model and re-implement the noradrenaline influence in a bio-plausible manner suitable for the modelling of emotions in a computational system. We have upgraded our previous bio-inspired architecture NEUCOGAR (Neuromodulating Cognitive Architecture) to capture a key aspect of cognitive processes: novelty detection and its evaluation. With our model, we can computationally implement a bioinspired cognitive architecture that uses neuromodulation as a mechanism to identify signals, as well as to evaluate them according to their novelty, taking into account the noradrenaline concentration dynamics. At the same time, the values thus generated are stored in the system using the same neurotransmitters model.
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This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic... more
This work is dedicated to the review and perspective of the new direction that we call "Neuropunk revolution" resembling the cultural phenomenon of cyberpunk. This new phenomenon has its foundations in advances in neuromorphic technologies including memristive and bio-plausible simulations, BCI, and neurointerfaces as well as unconventional approaches to AI and computing in general. We present the review of the current state-of-the-art and our vision of near future development of scientific approaches and future technologies. We call the "Neuropunk revolution" the set of trends that in our view provide the necessary background for the new generation of approaches technologies to integrate the cybernetic objects with biological tissues in close loop system as well as robotic systems inspired by the biological processes again integrated with biological objects. We see bio-plausible simulations implemented by digital computers or spiking networks memristive hardware as promising bridge or middleware between digital and (neuro)biological domains.
Research Interests:
The slime mould Physarum polycephalum has been used in developing un-conventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as... more
The slime mould Physarum polycephalum has been used in developing un-conventional computing devices for in which the slime mould played a role of a sensing, actuating, and computing device. These devices treated the slime mould rather as an active living substrate yet the slime mould is a self-consistent living creature which evolved for millions of years and occupied most part of the world, but in any case, that living entity did not own true cognition, just automated biochemical mechanisms. To " rehabilitate " the slime mould from the rank of a purely living electronics element to a " creature of thoughts " we are analyzing the cognitive potential of P. polycephalum. We base our theory of minimal cognition of the slime mould on a bottom-up approach, from the biological and biophysical nature of the slime mould and its regulatory systems using frameworks suh as Lyons biogenic cognition, Muller, di Primio-Lengeler´s modifiable pathways, Bateson's " patterns that connect " framework, Maturanas autopoetic network, or proto-consciousness and Morgans Canon.