BookDOI
Biophysics of computation : information processing in single neurons
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This work presents simplified models of individual neurons, and unconventional coupling, of action-potential generation and phase space analysis of neuronal excitability in response to the Hodgkin-Huxley model.Abstract:
1. The membrane equation 2. Linear cable theory 3. Passive dendritic trees 4. Synaptic input 5. Synaptic interactions in a passive dendritic tree 6. The Hodgkin-Huxley model of action-potential generation 7. Phase space analysis of neuronal excitability 8. Ionic channels 9. Beyond Hodgkin and Huxley: calcium, and calcium-dependent potassium currents 10. Linearizing voltage-dependent currents 11. Diffusion, buffering, and binding 12. Dendritic spines 13. Synaptic plasticity 14. Simplified models of individual neurons 15. Stochastic models of single cells 16. Bursting cells 17. Input resistance, time constants, and spike initiation 18. Synaptic input to a passive tree 19. Voltage-dependent events in the dendritic tree 20. Unconventional coupling 21. Computing with neurons - a summaryread more
Citations
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Journal ArticleDOI
A model of saliency-based visual attention for rapid scene analysis
TL;DR: In this article, a visual attention system inspired by the behavior and the neuronal architecture of the early primate visual system is presented, where multiscale image features are combined into a single topographical saliency map.
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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.
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A saliency-based search mechanism for overt and covert shifts of visual attention.
Laurent Itti,Christof Koch +1 more
TL;DR: A detailed computer implementation of a saliency map scheme is described, focusing on the problem of combining information across modalities, here orientation, intensity and color information, in a purely stimulus-driven manner, which is applied to common psychophysical stimuli as well as to a very demanding visual search task.
Journal ArticleDOI
Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience
TL;DR: A new experimental and data-analytical framework called representational similarity analysis (RSA) is proposed, in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs.
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.
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