Results 81 to 90 of about 10,942,539 (365)

Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron

Frontiers in Computational Neuroscience, 2012
Spike pattern classification is a key topic in machine learning, computational neuroscience and electronic device design. Here we offer a new approach for supervised spike pattern classification, combining a bio-mimetic neuron model with a method based ...
Maxime eAmbard, Stefan eRotter
doaj   +1 more source

Neuronal Synchronization Can Control the Energy Efficiency of Inter-Spike Interval Coding [PDF]

, 2018
The role of synchronous firing in sensory coding and cognition remains controversial. While studies, focusing on its mechanistic consequences in attentional tasks, suggest that synchronization dynamically boosts sensory processing, others failed to find ...
Ghavami, Siavash, Lahouti, Farshad, Rahmati, Vahid, Schwabe, Lars   +3 more
core   +1 more source

Acid-sensing ion channels 1a (ASIC1a) inhibit neuromuscular transmission in female mice [PDF]

, 2014
Acid-sensing ion channels (ASIC) open in response to extracellular acidosis. ASIC1a, a particular subtype of these channels, has been described to have a postsynaptic distribution in the brain, being involved not only in ischemia and epilepsy, but also ...
Colettis, Natalia Claudia, Gonzalez, Laura Elisabeth, González Inchauspe, Carlota María Fabiola, Lino, Noelia Gisele, Uchitel, Osvaldo Daniel, Urbano Suarez, Francisco Jose, Vattino, Lucas Gabriel, Wemmie, John A., Wunsch, Amanda M.   +8 more
core   +1 more source

Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing

Advanced Functional Materials, EarlyView.
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki, In Cheol Kwak, Seonkwon Kim, Jihyun Kim, Dong Gue Roe, Se‐Jin Kim, Joohoon Kang, Jeong Ho Cho   +7 more
wiley   +1 more source

Dynamic layer-span connecting spiking neural networks with backpropagation training

Complex & Intelligent Systems, 2023
Spiking Neural Network (SNN) is one of the mainstream frameworks for brain-like computing and neuromorphic computing, which has the potential to overcome current AI challenges, for example, low-power learning dynamic processes.
Zijjian Wang, Yuxuan Huang, Yaqin Zhu, Binxing Xu, Long Chen   +4 more
doaj   +1 more source

Stability of Negative Image Equilibria in Spike-Timing Dependent Plasticity

, 2003
We investigate the stability of negative image equilibria in mean synaptic weight dynamics governed by spike-timing dependent plasticity (STDP). The neural architecture of the model is based on the electrosensory lateral line lobe (ELL) of mormyrid ...
Alan Williams, C.C. Bell, C.C. Bell, C.C. Bell, D. Ehrlich, E.L. Bienenstock, H. Cateau, H. Markram, J. Rubin, L.F. Abbott, M. Yoshioka, M.C.W. van Rossum, P.D. Roberts, P.D. Roberts, P.D. Roberts, P.D. Roberts, P.D. Roberts, Patrick D. Roberts, Q. Bi, R. Kempter, R.H. Hahnloser, T. Lomo, T.J. Sejnowski, T.V. Bliss, Todd K. Leen, V. Han, V.P. Zhigulin, W. Gerstner, W. Gerstner, W. Gerstner   +29 more
core   +1 more source

Dynamical principles in neuroscience [PDF]

, 2006
Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors.
Abarbanel, H. D. I., Abarbanel, H. D. I., Abeles, M., Abeles, M., Adrian, E. D., Allen I. Selverston, Amit, D., Amit, D. J., Andronov, A., Andronov, A., Andronov, A. A., Arbib, M. A., Arnold, V., Ashby, W. R., Baird, B., Bartos, M., Bartos, M., Bi, G., Bliss, T. V., Bondarenko, V., Borda, J. C., Canavier, C., Chay, T., Chklovskii, D. B., Cohen, M. A., Crevier, D., Cymbalyuk, G., de Nó, R. L., deCharms, R., Diwadkar, V. A., Duda, R., Elson, R. C., Fano, R. M., Fatt, P., Freeman, W., Freeman, W., Fuhrmann, G., Gallager, R. G., Gavrilov, N., Gerstner, W., Glass, L., Goroff, D., Grossberg, S., Guckenheimer, J., Hatsopoulos, N., Hebb, R., Henry D. I. Abarbanel, Hodgkin, A. L., Hopfield, J., Ichinohe, N., Ince, D., Izhikevich, E., Jones, S. R., Kandel, E. R., Kaplan, D., Katz, B., Kim, U., Kimpo, R. R., Koch, C., Konishi, M., Kuramoto, Y., Kuznetsov, Y., Landau, L. D., Lapicque, L., Lashley, K., Levi, R., Lindner, B., Lotka, A. J., Malkov, V., Maravall, M., Marder, E., Mikhail I. Rabinovich, Nicholls, J. G., Nowotny, T., Oscarsson, O., Ott, E., O’Reilly, R., Pablo Varona, Panchin, Y., Pikovsky, A., Poincaré, A., Poincaré, H., Prinz, A., Prinz, A. A., Rabinovich, M., Ramirez, J., Reinagel, P., Rosenblatt, F., Rowe, D., Saari, G., Segundo, J. P., Segundo, J. P., Senseman, D. M., Seung, H. S., Shadlen, M. N., Shepherd, G., Simmers A. J., Singer, W., Stein, S. G., Strogatz, S. H., Szekely, G., Szücs, A., Szücs, A., Szücs, A., Tsuda, I., Turrigiano, G. G., Varona, P., Volterra, V., Wang, X.-J., Wilson, H. R., Zhigulin, V. P.   +110 more
core   +2 more sources

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source

Differential role of pre- and postsynaptic neurons in the activity-dependent control of synaptic strengths across dendrites.

PLoS Biology, 2019
Neurons receive a large number of active synaptic inputs from their many presynaptic partners across their dendritic tree. However, little is known about how the strengths of individual synapses are controlled in balance with other synapses to ...
Mathieu Letellier, Florian Levet, Olivier Thoumine, Yukiko Goda   +3 more
doaj   +1 more source

Postsynaptic Target Specificity of Neurotrophin-Induced Presynaptic Potentiation [PDF]

Neuron, 2000
The role of the target cell in neurotrophin-induced modifications of glutamatergic synaptic transmission was examined in cultured hippocampal neurons. Brain-derived neurotrophic factor (BDNF) induced rapid and persistent potentiation of evoked glutamate release when the postsynaptic neuron was glutamatergic, or excitatory (E-->E), but not when it was ...
Schinder, Alejandro F., Berninger, Benedikt, Poo, Mu-ming   +2 more
openaire   +2 more sources