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Phase synchronization of bursting neurons in clustered small
Phase synchronization of bursting neurons in clustered small

... simulations of this structure can be a clustered network, or a network formed by interacting subnetworks [10]. The subnetworks stand for the clusters and the neurons in subnetworks are connected with neurons belonging to the same cluster and other clusters as well [11,12]. Each such network has a co ...
Temporary inhibition of AMPA receptors induces a prolonged improvement
Temporary inhibition of AMPA receptors induces a prolonged improvement

Calculating Consequences - Human Reward and Decision Making lab
Calculating Consequences - Human Reward and Decision Making lab

... cording to the interval between successive rewards. Because of methodWe used high-pass filter with cutoff ⫽ 200 s. ological constraints imposed by the fMRI method, we randomly interFor each subject, we constructed an fMRI design matrix by modeling spersed 30 s blocks of responding on these different ...
MS Word DOC - AvianBrain.org
MS Word DOC - AvianBrain.org

... details of cell migration, layering, connectivity, etc). The particular cell populations that originate within the homologous fields can be compared secondarily for similarity, or for more detailed levels of homology (i.e., as characteristic cell types), by analyzing other features, such as differen ...
6 - Coach Eikrem's Website
6 - Coach Eikrem's Website

... • afferent (sensory) nerves – transmit nerve impulses from the sensory receptors in the skin, muscles, and joints to the CNS • efferent (motor) nerves – transmit nerve impulses from the CNS to the muscles and glands ...
Seeing faces and objects with the “mind`s eye”
Seeing faces and objects with the “mind`s eye”

... parietal and frontal areas. Finally, we examined whether the DCM analysis would reveal different patterns of effective connectivity during imagery of faces, houses and chairs in parietal and frontal cortices, as our original SPM analysis did not show category-specific imagery activation within these ...
PPT
PPT

... How do NNs and ANNs work? • The “building blocks” of neural networks are the neurons. • In technical systems, we also refer to them as units or nodes. • Basically, each neuron – receives input from many other neurons, – changes its internal state (activation) based on the current input, – sends one ...
Glutamate Receptors Form Hot Spots on Apical Dendrites of
Glutamate Receptors Form Hot Spots on Apical Dendrites of

... of the recorded cells. It has previously been shown that ␥-CNB-caged glutamate, at 1 mM concentration, does not desensitize glutamate receptors in hippocampal neurons, and that caged glutamate does not inhibit the activation of the glutamate receptors by 50 ␮M glutamate (Wieboldt et al. 1994). Likew ...
Neuronal Activity and Ion Homeostasis in the Hypoxic Brain
Neuronal Activity and Ion Homeostasis in the Hypoxic Brain

... These include cerebral energy consumption and metabolism, neuronal membrane voltage dynamics and action potential generation, synaptic functioning, changes in extra- and intracellular concentrations (ions, molecular messengers, pH), glial uptake and blood flow regulation [8]. However, the dynamics o ...
Memory Distortion and False Memory Creation
Memory Distortion and False Memory Creation

... develop false recollections about the past or to experience the devastation that such recollections caused. Yet in this case. expert witnesses brought to the table several forms of evidence to support the power of suggestion to create false memories. Converging evidence of the power of suggestion to ...
Looking back: Joke comprehension and the space structuring model
Looking back: Joke comprehension and the space structuring model

... Similarly, Fauconnier (1997) and Fauconnier and Turner (2002) explain how the very same expression can take on a vast number of remarkably di¤erent meanings in context. Given linguistic input in a particular context of use, speakers exploit cognitive operations such as metaphorical mapping and conce ...
The Neuroscience of Spontaneous Thought: An Evolving
The Neuroscience of Spontaneous Thought: An Evolving

... during periods of rest. Despite the efforts of these groups, many subsequent studies assumed the default network and the resting state reflected an idle state with little contribution to active forms of cognition. This assumption was perhaps most apparent throughout the literature on rs-fcMRI, a te ...
Table of Contents
Table of Contents

... – Absolute Threshold – minimum amount of stimulus needed for AP to fire. Positively charged sodium ions flow in, potassium ions flow out Shift in electrical charge travels along neuron ...
NMDA receptor blockade causes selective prefrontal
NMDA receptor blockade causes selective prefrontal

... that they arise from general mechanisms underlying sensory processing in the brain. A dominant theory that accommodates such perceptual inference is formalised in the predictive coding framework (32, 33): Based on Helmholtz’s notion that the brain attempts to infer the causes of sensations (34, 35), ...
Lema and Nevitt, 2004a
Lema and Nevitt, 2004a

... somaÕs profile with a digitizing pen. Only cells displaying a distinct axon or dendrite were measured. Soma area (lm2 ) or Ôcell sizeÕ was automatically calculated by the AxioVision software, which had been calibrated with a micrometer. For each fish, we measured the size of 111.28  8.69 (mean  SE; ...
Misinformation and Need for Cognition: How They Affect False
Misinformation and Need for Cognition: How They Affect False

... paradigm which depicted an office theft (McCloskey & Zaragoza). Participants were exposed to a slideshow where they witnessed a maintenance man stealing money from an office. Later they were asked what type of tool the maintenance man took out from the toolbox (a hammer was the originally witnessed ...
Realizing Biological Spiking Network Models in a Configurable
Realizing Biological Spiking Network Models in a Configurable

... access lanes 0...255 only, the other half lanes 256...511.4 For the sake of simplicity, it is assumed in the routing simulations reported below that the bus lanes a network chip needs to access are distributed equally across the two bundles, such that 50% of the input signals are on the left and 50% ...
Review. Glial cells in neuronal network function
Review. Glial cells in neuronal network function

... system is formed by two major cell types, neurons and glial cells. Glial cells are subdivided into different types with different functions: oligodendroglia, microglia, ependimoglia and astroglia. From the original descriptions of the cellular basis of the nervous system, neurons were promptly recog ...
Multiple Representation in Primate SI
Multiple Representation in Primate SI

... 3b leave Area 1 unresponsive, consistent with anatomy studies that show that Area 1 receives the bulk of its input from Area 3b. These findings suggest that direct thalamic inputs to Area 1 play either a weak or a modulatory role in cutaneous information processing (Garraghty et al., 1990). In compa ...
Three key sequences HDEV
Three key sequences HDEV

... show distress, and withdraw the finger, but the rest of the body during the embryonic stage. they are less likely to thrash about wildly. Thus, By 8 weeks after conception, the head constitutes half the response to pain has become more specific. An older the entire length of the embryo. The brain de ...
Granger causality analysis of state dependent functional connectivity
Granger causality analysis of state dependent functional connectivity

... Primate feeding behavior is characterized by a series of cycles of different types–ingestion, manipulation, chewing, swallowing [1]. Previous studies employing single electrode recording techniques [2], [3] have shown that majority of neurons in MIo show activity related to rhythmic chewing, preswal ...
Abstract
Abstract

... weights of the basis functions are found by placing the Centers back into the image and solving the resulting set of linear equations”. In a RBF network, a neuron of the hidden layer is activated whenever the input vector is close enough to centre vector. There are several techniques and heuristics ...
Kenji Doya 2001
Kenji Doya 2001

... IEEE Control Systems Magazine ...
Institute of Psychology C.N.R.
Institute of Psychology C.N.R.

... the same environment but hosting different genotypes will tend to undergo different changes and the same will be true for two individuals that have the same genotype but live in different environments. The changes that occur in the individual must in general be adaptive, that is, they must lead to a ...
Open Questions on Mind, Genes, Consciousness
Open Questions on Mind, Genes, Consciousness

... Gene, Brain, and Body? In silico is a popular expression in the computer and bioinformatic approaches to simulating life processes on all levels from mind and behavior to molecular genomics. These simulations of complex life processes are performed via information processing models on silicon chips ...
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Holonomic brain theory

The holonomic brain theory, developed by neuroscientist Karl Pribram initially in collaboration with physicist David Bohm, is a model of human cognition that describes the brain as a holographic storage network. Pribram suggests these processes involve electric oscillations in the brain's fine-fibered dendritic webs, which are different from the more commonly known action potentials involving axons and synapses. These oscillations are waves and create wave interference patterns in which memory is encoded naturally, and the waves may be analyzed by a Fourier transform. Gabor, Pribram and others noted the similarities between these brain processes and the storage of information in a hologram, which can also be analyzed with a Fourier transform. In a hologram, any part of the hologram with sufficient size contains the whole of the stored information. In this theory, a piece of a long-term memory is similarly distributed over a dendritic arbor so that each part of the dendritic network contains all the information stored over the entire network. This model allows for important aspects of human consciousness, including the fast associative memory that allows for connections between different pieces of stored information and the non-locality of memory storage (a specific memory is not stored in a specific location, i.e. a certain neuron).
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