Journal ArticleDOI
Simple model of spiking neurons
TLDR
A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons and combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons.Abstract:
A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.read more
Citations
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Journal ArticleDOI
Deep learning in neural networks
TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
Book
Dynamical Systems in Neuroscience
TL;DR: This book explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition, providing a link between the two disciplines.
Journal ArticleDOI
Which model to use for cortical spiking neurons
TL;DR: The biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons are discussed and their applicability to large-scale simulations of cortical neural networks is compared.
Journal ArticleDOI
Neuromorphic Silicon Neuron Circuits
Giacomo Indiveri,Bernabe Linares-Barranco,Tara Julia Hamilton,André van Schaik,Ralph Etienne-Cummings,Tobi Delbruck,Shih-Chii Liu,Piotr Dudek,Philipp Hafliger,Sylvie Renaud,Johannes Schemmel,Gert Cauwenberghs,John V. Arthur,Kai Hynna,Fopefolu Folowosele,Sylvain Saïghi,Teresa Serrano-Gotarredona,Jayawan H B Wijekoon,Yingxue Wang,Kwabena Boahen +19 more
TL;DR: The most common building blocks and techniques used to implement these circuits, and an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin–Huxley models to bi-dimensional generalized adaptive integrate and fire models.
Journal ArticleDOI
The future of electronics based on memristive systems
TL;DR: The state of the art in memristor-based electronics is evaluated and the future development of such devices in on-chip memory, biologically inspired computing and general-purpose in-memory computing is explored.
References
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Journal ArticleDOI
Neural excitability, spiking and bursting
TL;DR: The phenomenon of neural bursting is described, and geometric bifurcation theory is used to extend the existing classification of bursters, including many new types, and it is shown that different bursters can interact, synchronize and process information differently.
Journal ArticleDOI
Two networks of electrically coupled inhibitory neurons in neocortex
TL;DR: Two functionally distinct inhibitory networks comprising either fast-spiking (FS) or low-threshold spiking (LTS) neurons are described, which may allow each inhibitory network to function independently.
Journal ArticleDOI
Intrinsic firing patterns of diverse neocortical neurons.
TL;DR: The different firing properties of neurons in neocortex contribute significantly to its network behavior, particularly in response to current steps.
Book
Weakly connected neural networks
TL;DR: In this paper, local analysis of WCNNs is performed using a saddle-node on a limit cycle and weakly connected Oscillators with Andronov-Hopf Bifurcation.
Journal ArticleDOI
Chattering cells: superficial pyramidal neurons contributing to the generation of synchronous oscillations in the visual cortex.
TL;DR: Chattering cells located in the superficial layers of the cortex intrinsically generate 20- to 70-hertz repetitive burst firing in response to suprathreshold depolarizing current injection, and exhibit pronounced oscillations in membrane potential during visual stimulation that are largely absent during periods of spontaneous activity.