Neurons, AfferentMathematicsNeural Networks (ComputerAs neuromodulation therapy has grown, so has the recognition that computational models can provide important insights into the design, operation, and clinical application of neurostimulation systems. Models of deep brain stimulation and spinal cord ...
A complete model of this type of selective degeneration requires a framework for physiology that allows static brain structure to support dynamic reconfiguring of functional operations in response to current high-level demands through coordination of spiking activity in large populations of neurons across ...
.Acomputationalmodeloftheelectricaloscillationsinneuronalnetworkrepresentingasingleclusterofneurons,aswellastwoconnectedclustersisprovidedinthisthesis.Thismodelallowsustoexaminethedifferentfactorsthatcausesynchronizationaswelltoshowtheextentofinformationprocessingthatispossibleinarandomlygeneratednetworkofclusters.Themodelgenerated...
Neurons which do not fire still learn: There is much more going on than electrical spikes in neurons and brain connections: Proteins, which are the little biological machines which make everything in your body work, combined with local electric potential do a lot of information processing on the...
Models that describe qualitatively and quantitatively the activity of entire groups of spiking neurons are becoming increasingly important for biologically... J Eggert,JLV Hemmen - 《Neural Computation》 被引量: 80发表: 1923年 Nonlinear modeling of dynamic interactions within neuronal ensembles using Prin...
of individual neurons, but are mediated by population dynamics in mesoscopic neural ensembles. Understanding this multiscale mapping is an important but nontrivial issue. Here, we bridge these different levels of description by showing how computational models parametrically map classic neuromodulatory ...
1.3 Computational Neuroscience: Mechanistic and Interpretive Models 12:36 1.4 The Electrical Personality of Neurons 23:03 1.5 Making Connections: Synapses 20:19 1.6 Time to Network: Brain Areas and their Function 17:07 2.1 What is the Neural Code?
Over the past two decades, substantial progress has been made in deciphering the cellular and molecular mechanisms underlying adult neurogenesis and in understanding the role played by new neurons in brain function in animal models of health and disease. By contrast, knowledge regarding the extent.....
More complex image models: Images are mixtures of independent non-Gaussian image sources Efficient coding principle: responses of neurons should be independent -> Need to reverse the mixing process (demixing) Recovering non-Gaussian components in the data (ICA) leads to receptive field that closely...
It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, ...