๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Information processing by neuronal populations

โœ Scribed by Holscher C., Munk M. (eds.)


Publisher
CUP
Year
2009
Tongue
English
Leaves
485
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Models and concepts of brain function have always been guided and limited by the available techniques and data. This book brings together a multitude of data from different backgrounds. It addresses questions such as: How do different brain areas interact in the process of channelling information? How do neuronal populations encode the information? How are networks formed and separated or associated with other networks? The authors present data at the single cell level both in vitro and in vivo, at the neuronal population level in vivo comparing field potentials (EEGs) in different brain areas, and also present data from spike recordings from identified neuronal populations during the performance of different tasks. Written for academic researchers and graduate students, the book strives to cover the range of single cell activity analysis to the observation of network activity, and finally to brain area activity and cognitive processes of the brain.


๐Ÿ“œ SIMILAR VOLUMES


Information Processing by Neuronal Popul
โœ Christian Holscher, Matthias Munk ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Models and concepts of brain function have always been guided and limited by the available techniques and data. This book brings together a multitude of data from different backgrounds. It addresses questions such as: How do different brain areas interact in the process of channelling information? H

Neuro-inspired Information Processing
โœ Alain Cappy ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Wiley-ISTE ๐ŸŒ English

With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific community. Its principle is to emula

Biophysics of Computation: Information P
โœ Christof Koch ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Oxford University Press, USA ๐ŸŒ English

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenge

Biophysics of Computation: Information P
โœ Christof Koch ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Oxford University Press, USA ๐ŸŒ English

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges

Biophysics of Computation - Information
โœ Christof Koch ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Oxford University Press ๐ŸŒ English

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges

Spiking neuron models: single neurons, p
โœ Wulfram Gerstner, Werner M. Kistler ๐Ÿ“‚ Library ๐Ÿ“… 2002 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual frame