Spiking Neural P Systems with Addition/Subtraction Computing on Synapses [PDF]
, 2018 Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computing models inspired from biological spiking neurons.
Chen, Zhiqiang, Jiang, Yun
core
Storage Capacity Diverges with Synaptic Efficiency in an Associative Memory Model with Synaptic Delay and Pruning [PDF]
, 2003 It is known that storage capacity per synapse increases by synaptic pruning in the case of a correlation-type associative memory model. However, the storage capacity of the entire network then decreases. To overcome this difficulty, we propose decreasing
Miyoshi, Seiji, Okada, Masato
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Optimal percentage of inhibitory synapses in multi-task learning
, 2015 Performing more tasks in parallel is a typical feature of complex brains. These are characterized by the coexistence of excitatory and inhibitory synapses, whose percentage in mammals is measured to have a typical value of 20-30\%.
Capano, Vittorio +2 more
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The Role of Parvalbumin-positive Interneurons in Auditory Steady-State Response Deficits in Schizophrenia [PDF]
, 2019 © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the ...
A.M. Lavoie +45 more
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eLifeThe ability to extinguish contextual fear in a changing environment is crucial for animal survival. Recent data support the role of the thalamic nucleus reuniens (RE) and its projections to the dorsal hippocampal CA1 area (RE→dCA1) in this process ...
Magdalena Ziółkowska +7 more
doaj +1 more source
Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses
Frontiers in Systems Neuroscience, 2020 A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autapses, synapses from a neuron onto itself via closed loops, on neural ...
Paulo R. Protachevicz +9 more
doaj +1 more source
Controlling chaos in diluted networks with continuous neurons
, 2000 Diluted neural networks with continuous neurons and nonmonotonic transfer function are studied, with both fixed and dynamic synapses. A noisy stimulus with periodic variance results in a mechanism for controlling chaos in neural systems with fixed ...
Caroppo D. +11 more
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Optogenetic Interrogation of Functional Synapse Formation by Corticospinal Tract Axons in the Injured Spinal Cord [PDF]
, 2016 To restore function after injury to the CNS, axons must be stimulated to extend into denervated territory and, critically, must form functional synapses with appropriate targets. We showed previously that forced overexpression of the transcription factor
Balle, Eric +8 more
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Postsynaptic protein organization revealed by electron microscopy. [PDF]
, 2019 Neuronal synapses are key devices for transmitting and processing information in the nervous system. Synaptic plasticity, generally regarded as the cellular basis of learning and memory, involves changes of subcellular structures that take place at the ...
Bi, Guo-Qiang +4 more
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Neuromorphic Learning towards Nano Second Precision [PDF]
, 2013 Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz +3 more
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