Simulation of networks of spiking neurons: a review of tools and strategies

R Brette, M Rudolph, T Carnevale, M Hines… - Journal of computational …, 2007 - Springer
We review different aspects of the simulation of spiking neural networks. We start by
reviewing the different types of simulation strategies and algorithms that are currently …

Computer modelling of epilepsy

WW Lytton - Nature Reviews Neuroscience, 2008 - nature.com
Epilepsy is a complex set of disorders that can involve many areas of the cortex, as well as
underlying deep-brain systems. The myriad manifestations of seizures, which can be as …

[图书][B] Computational maps in the visual cortex

R Miikkulainen, JA Bednar, Y Choe, J Sirosh - 2006 - books.google.com
Biological structures can be seen as collections of special devices coordinated by a matrix of
organization. Devices are dif? cult to evolve and are meticulously conserved through the …

[图书][B] Modelos o metáforas: Crítica del paradigma de la complejidad de Edgar Morin

C Reynoso - 2015 - books.google.com
El antropólogo Carlos Reynoso demuestra en esta obra que el pretendido “paradigma de la
complejidad” de Edgar Morin refleja una concepción anticuada y circunscripta de la …

Effect of propagation noise on the network dynamics of a flux coupled conductance-based neuron model

S Kanagaraj, P Durairaj, A Karthikeyan… - … Physical Journal Plus, 2022 - epjplus.epj.org
We show the dynamical behavior of a flux coupled (memristive) conductance-based neuron
(FCN) by exposing it to an external periodic stimulus. To do so, we first examine the local …

[HTML][HTML] Emergence of physiological oscillation frequencies in a computer model of neocortex

SA Neymotin, H Lee, E Park, AA Fenton… - Frontiers in …, 2011 - frontiersin.org
Coordination of neocortical oscillations has been hypothesized to underlie the “binding”
essential to cognitive function. However, the mechanisms that generate neocortical …

Spiking neural networks and bio-inspired supervised deep learning: a survey

G Lagani, F Falchi, C Gennaro, G Amato - arXiv preprint arXiv:2307.16235, 2023 - arxiv.org
For a long time, biology and neuroscience fields have been a great source of inspiration for
computer scientists, towards the development of Artificial Intelligence (AI) technologies. This …

Can't see the forest for the leaves: Similarity and distance measures for hierarchical taxonomies with a patent classification example

RC McNamee - Research policy, 2013 - Elsevier
Current measures of technological distance or similarity typically ignore a great deal of the
information contained within the classification taxonomies upon which they are based. In this …

Artifact characterization and removal for in vivo neural recording

MK Islam, A Rastegarnia, AT Nguyen, Z Yang - Journal of neuroscience …, 2014 - Elsevier
Background In vivo neural recordings are often corrupted by different artifacts, especially in
a less-constrained recording environment. Due to limited understanding of the artifacts …

[HTML][HTML] A nonlinear five-term system: Symmetry, chaos, and prediction

VP Thoai, MS Kahkeshi, VV Huynh, A Ouannas… - Symmetry, 2020 - mdpi.com
Chaotic systems have attracted considerable attention and been applied in various
applications. Investigating simple systems and counterexamples with chaotic behaviors is …