Search Results - "Detorakis, Georgios"

Neural sampling machine with stochastic synapse allows brain-like learning and inference by Dutta, Sourav, Detorakis, Georgios, Khanna, Abhishek, Grisafe, Benjamin, Neftci, Emre, Datta, Suman

“…Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level…”
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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines by Neftci, Emre O, Augustine, Charles, Paul, Somnath, Detorakis, Georgios

“…An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with…”
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Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning by Detorakis, Georgios, Sheik, Sadique, Augustine, Charles, Paul, Somnath, Pedroni, Bruno U, Dutt, Nikil, Krichmar, Jeffrey, Cauwenberghs, Gert, Neftci, Emre

“…Embedded, continual learning for autonomous and adaptive behavior is a key application of neuromorphic hardware. However, neuromorphic implementations of…”
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Incremental stability of delayed neural fields: a unifying framework for endogenous and exogenous sources of pathological oscillations by Is Detorakis, Georgios, Chaillet, Antoine

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A neural field model of the somatosensory cortex: formation, maintenance and reorganization of ordered topographic maps by Detorakis, Georgios Is, Rougier, Nicolas P

“…We investigate the formation and maintenance of ordered topographic maps in the primary somatosensory cortex as well as the reorganization of representations…”
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Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity by Pedroni, Bruno U, Joshi, Siddharth, Deiss, Stephen R, Sheik, Sadique, Detorakis, Georgios, Paul, Somnath, Augustine, Charles, Neftci, Emre O, Cauwenberghs, Gert

“…Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule commonly used for online learning in spike-based neuromorphic…”
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Closed-loop stimulation of a delayed neural fields model of parkinsonian STN-GPe network: a theoretical and computational study by Detorakis, Georgios Is, Chaillet, Antoine, Palfi, Stéphane, Senova, Suhan

“…Several disorders are related to pathological brain oscillations. In the case of Parkinson's disease, sustained low-frequency oscillations (especially in the…”
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Optogénétique en boucle fermée : une boucle artificielle pour réguler des boucles pathologiques ? by Detorakis, Georgios I, Chaillet, Antoine, Palfi, Stéphane, Senova, Suhan

“…Si les boucles impliquant divers circuits neuronaux jouent un rôle majeur dans le fonctionnement du cerveau, certains dysfonctionnements peuvent altérer…”
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Stability analysis of a neural field self-organizing map by Detorakis, Georgios, Chaillet, Antoine, Rougier, Nicolas P.

“…We provide theoretical conditions guaranteeing that a self-organizing map efficiently develops representations of the input space. The study relies on a neural…”
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Contrastive Hebbian learning with random feedback weights by Detorakis, Georgios, Bartley, Travis, Neftci, Emre

“…Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by…”
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Randomized Self-Organizing Map by Rougier, Nicolas P, Detorakis, Georgios Is

“…We propose a variation of the self-organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue…”
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OpenPelt: Python Framework for Thermoelectric Temperature Control System Development by Parise, Roman, Detorakis, Georgios Is

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GAIM: A C++ library for Genetic Algorithms and Island Models by Detorakis, Georgios, Burton, Andrew

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Robust stabilization of delayed neural fields with partial measurement and actuation by Chaillet, Antoine, Detorakis, Georgios Is, Palfi, Stéphane, Senova, Suhan

“…Neural fields are integro-differential equations describing spatiotemporal activity of neuronal populations. When considering finite propagation speed of…”
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Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer by Detorakis, Georgios Is

“…Deep learning has become a popular tool across many scientific fields, including the study of differential equations, particularly partial differential…”
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Event-driven random backpropagation: Enabling neuromorphic deep learning machines by Neftci, Emre, Augustine, Charles, Paul, Somnath, Detorakis, Georgios

“…An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with…”
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Sustainable computational science: the ReScience initiative by Rougier, Nicolas P, Hinsen, Konrad, Alexandre, Frédéric, Arildsen, Thomas, Barba, Lorena A, Benureau, Fabien C.Y, Brown, C. Titus, de Buyl, Pierre, Caglayan, Ozan, Davison, Andrew P, Delsuc, Marc-André, Detorakis, Georgios, Diem, Alexandra K, Drix, Damien, Enel, Pierre, Girard, Benoît, Guest, Olivia, Hall, Matt G, Henriques, Rafael N, Hinaut, Xavier, Jaron, Kamil S, Khamassi, Mehdi, Klein, Almar, Manninen, Tiina, Marchesi, Pietro, McGlinn, Daniel, Metzner, Christoph, Petchey, Owen, Plesser, Hans Ekkehard, Poisot, Timothée, Ram, Karthik, Ram, Yoav, Roesch, Etienne, Rossant, Cyrille, Rostami, Vahid, Shifman, Aaron, Stachelek, Joseph, Stimberg, Marcel, Stollmeier, Frank, Vaggi, Federico, Viejo, Guillaume, Vitay, Julien, Vostinar, Anya E, Yurchak, Roman, Zito, Tiziano

“…Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational…”
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A computational view of area 3b of primary somatosensory cortex by Detorakis, Georgios IS, Rougier, Nicolas P

“…Doc number: P333…”
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Structure of receptive fields in a computational model of area 3b of primary sensory cortex by Detorakis, Georgios Is, Rougier, Nicolas P

“…In a previous work, we introduced a computational model of area 3b which is built upon the neural field theory and receives input from a simplified model of…”
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Randomized Self Organizing Map by Rougier, Nicolas P, Detorakis, Georgios Is

“…We propose a variation of the self organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue…”
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