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- research-articleAugust 2023
Synaptic motor adaptation: A three-factor learning rule for adaptive robotic control in spiking neural networks
ICONS '23: Proceedings of the 2023 International Conference on Neuromorphic SystemsArticle No.: 1, Pages 1–9https://doi.org/10.1145/3589737.3605971Legged robots operating in real-world environments must possess the ability to rapidly adapt to unexpected conditions, such as changing terrains and varying payloads. This paper introduces the Synaptic Motor Adaptation (SMA) algorithm, a novel ...
- research-articleNovember 2022
Application of subject-specific helmets for the study of human visuomotor behavior using transcranial focused ultrasound: a pilot study
Computer Methods and Programs in Biomedicine (CBIO), Volume 226, Issue Chttps://doi.org/10.1016/j.cmpb.2022.107127Highlights- We proposed the framework of transcranial focused ultrasound (tFUS) stimulation integrating our two previously proposed methods for tFUS transducer ...
As a novel non-invasive human brain stimulation method, transcranial focused ultrasound (tFUS) is receiving growing attention due to its superior spatial specificity and depth penetrability. Since ...
- research-articleDecember 2021
Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility
ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 15, Issue 4Article No.: 11, Pages 1–26https://doi.org/10.1145/3487918Neural networks have been widely used in agent learning architectures; however, learnings for one task might nullify learnings for another. Behavioural plasticity enables humans and animals alike to respond to environmental changes without degrading ...
- research-articleJune 2020
Evolving inborn knowledge for fast adaptation in dynamic POMDP problems
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation ConferencePages 280–288https://doi.org/10.1145/3377930.3390214Rapid online adaptation to changing tasks is an important problem in machine learning and, recently, a focus of meta-reinforcement learning. However, reinforcement learning (RL) algorithms struggle in POMDP environments because the state of the system, ...
- research-articleJanuary 2020
Asymptotic and Numerical Analysis of a Stochastic PDE Model of Volume Transmission
Multiscale Modeling and Simulation (MMS), Volume 18, Issue 2Pages 887–915https://doi.org/10.1137/18M1230773Volume transmission is an important neural communication pathway in which neurons in one brain region influence the neurotransmitter concentration in the extracellular space of a distant brain region. In this paper, we apply asymptotic analysis to a ...
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- research-articleMarch 2020
An Improved Intermittent Electrical Stimulation Therapy for Penicillin-induced Seizure Suppression
ICBBE '19: Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics EngineeringPages 78–82https://doi.org/10.1145/3375923.3375930Neuromodulation is a promising treating therapy for drug-resistant epilepsy. Studies have shown that electrical stimulation could induce post-stimulus inhibition of neural activity, making it available for aborting seizure. Considering the long-term ...
- short-paperJune 2019
Neuromodulation system in closed loop for enhancing the sleep and the memory consolidation
- Nestor Garay-Vitoria,
- Andoni Arruti,
- José I. Martín,
- Javier Muguerza,
- Ainara Garzo,
- Erik Hernández,
- Ainhoa Álvarez,
- Jon Arambarri,
- Pedro M. Paz-Alonso,
- Manuel Carreiras,
- Ander Ramos-Murguialday
Interacción '19: Proceedings of the XX International Conference on Human Computer InteractionArticle No.: 11, Pages 1–4https://doi.org/10.1145/3335595.3335646Recently, there has been growing interest in analyzing the relationship between sleep quality and brain capacities, in terms of memory consolidation and the possible appearance of degenerative diseases such as dementias, including Alzheimer. This paper ...
- articleMarch 2019
Artificial gene regulatory networks-a review
In nature, gene regulatory networks are a key mediator between the information stored in the DNA of living organisms their genotype and the structural and behavioral expression this finds in their bodies, surviving in the world their phenotype. They ...
- articleDecember 2018
Discrete Modeling of Neuronal Interactions in Multi-Transmitter Networks
- N. Bazenkov,
- D. Vorontsov,
- V. Dyakonova,
- L. Zhilyakova,
- I. Zakharov,
- O. Kuznetsov,
- S. Kulivets,
- D. Sakharov
Scientific and Technical Information Processing (SPSTIP), Volume 45, Issue 5Pages 283–296https://doi.org/10.3103/S0147688218050015This paper presents a discrete model of non-synaptic interactions between neurons, which are performed by special chemical agents, neurotransmitters. In this model, all signals are broadcast: each neuron's activity can be perceived by all other neurons ...
- research-articleOctober 2018
Transcranial Magnetic Stimulation versus Transcranial Direct Current Stimulation as neuromodulatory techniques in stroke rehabilitation
TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing MulticulturalityPages 422–427https://doi.org/10.1145/3284179.3284251Transcranial magnetic stimulation and transcranial direct current stimulation are two techniques of non-invasive brain stimulation which principal mechanism of action is the cortical excitability modulation. The objective of this study is to perform an ...
- research-articleMay 2018
Going Small: Using the Insect Brain as a Model System for Edge Processing Applications
GLSVLSI '18: Proceedings of the 2018 Great Lakes Symposium on VLSIPages 373–378https://doi.org/10.1145/3194554.3194610In this work I explore bio-inspired architectures for adaptive and smart sensing incorporating two key aspects present on the insect brain that are not found in more traditional neural network approaches: modulated, hierarchical processing and modulated ...
- research-articleJanuary 2018
A Probabilistic Analysis of Volume Transmission in the Brain
SIAM Journal on Applied Mathematics (SJAM), Volume 78, Issue 2Pages 942–962https://doi.org/10.1137/16M1102252Volume transmission is a fundamental neural communication mechanism in which neurons in one brain nucleus modulate the neurotransmitter concentration in the extracellular space of a second nucleus. In this paper, we formulate and analyze a mathematical ...
- research-articleJuly 2016
Neuromodulation Improves the Evolution of Forward Models
GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016Pages 157–164https://doi.org/10.1145/2908812.2908837Many animals predict the outcomes of their actions by internal models. Such "forward models'' enable animals to rapidly simulate many actions without performing them to choose an appropriate action. Robots would similarly benefit from forward models. ...
- research-articleJuly 2015
Genetically-regulated Neuromodulation Facilitates Multi-Task Reinforcement Learning
GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary ComputationPages 551–558https://doi.org/10.1145/2739480.2754730In this paper, we use a gene regulatory network (GRN) to regulate a reinforcement learning controller, the State- Action-Reward-State-Action (SARSA) algorithm. The GRN serves as a neuromodulator of SARSA's learning parame- ters: learning rate, discount ...
- articleDecember 2014
Evaluation of polyvinyl alcohol cryogel as an acoustic coupling medium for low-intensity transcranial focused ultrasound
International Journal of Imaging Systems and Technology (IJIST), Volume 24, Issue 4Pages 332–338https://doi.org/10.1002/ima.22110Transcranial focused ultrasound FUS has emerged as a noninvasive neuromodulatory modality with exquisite depth penetration and spatial selectivity. Liquids, such as degassed water or mineral oil, are used as acoustic coupling media between the ...
- research-articleJuly 2014
Automated generation of environments to test the general learning capabilities of AI agents
GECCO '14: Proceedings of the 2014 Annual Conference on Genetic and Evolutionary ComputationPages 161–168https://doi.org/10.1145/2576768.2598257Abstract Algorithms for evolving agents that learn during their lifetime have typically been evaluated on only a handful of environments. Designing such environments is labour intensive, potentially biased, and provides only a small sample size that may ...
- keynoteMay 2014
VLSI systems for neurocomputing and health informatics
GLSVLSI '14: Proceedings of the 24th edition of the great lakes symposium on VLSIPages 1–2https://doi.org/10.1145/2591513.2597168Ubiquitous access to computers, cell phones, internet, personal digital devices, cameras and TV can be attributed to advances in the very large scale integration (VLSI) technology and the advances in circuit design to operate circuits at Gigahertz ...
- articleSeptember 2012
Image-guided navigation of single-element focused ultrasound transducer
International Journal of Imaging Systems and Technology (IJIST), Volume 22, Issue 3Pages 177–184https://doi.org/10.1002/ima.22020The spatial specificity and controllability of focused ultrasound (FUS), in addition to its ability to modify the excitability of neural tissue, allows for the selective and reversible neuromodulation of the brain function, with great potential in ...
- research-articleJune 2012
Wireless, Ultra-Low-Power Implantable Sensor for Chronic Bladder Pressure Monitoring
ACM Journal on Emerging Technologies in Computing Systems (JETC), Volume 8, Issue 2Article No.: 11, Pages 1–13https://doi.org/10.1145/2180878.2180883The wireless implantable/intracavity micromanometer (WIMM) system was designed to fulfill the unmet need for a chronic bladder pressure sensing device in urological fields such as urodynamics for diagnosis and neuromodulation for bladder control. ...
- articleJune 2011
Focused ultrasound modulates the level of cortical neurotransmitters: Potential as a new functional brain mapping technique
- Byoung-Kyong Min,
- Po Song Yang,
- Mark Bohlke,
- Shinsuk Park,
- David R.Vago,
- Timothy J. Maher,
- Seung-Schik Yoo
International Journal of Imaging Systems and Technology (IJIST), Volume 21, Issue 2Pages 232–240https://doi.org/10.1002/ima.20284Regional modulation of the level of cortical neurotransmitters in the brain would serve as a new functional brain mapping technique to interrogate the neurochemical actions of the brain. We investigated the utility of the application of low-intensity, ...