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Stimulus Configuration, Classical Conditioning, and
Stimulus Configuration, Classical Conditioning, and

... Northwestern University Hippocampal participation in classical conditioning is described in terms of a multilayer network that portrays stimulus configuration. The network (a) describes behavior in real time, (b) incorporates a layer of "hidden" units positioned between input and output units, (c) i ...
Text - ETH E
Text - ETH E

Ectodermal Placodes: Contributions to the
Ectodermal Placodes: Contributions to the

... to the influences of any part of the neural tube although they arise in stereotyped locations in the pre- and post-otic regions of ectoderm lateral to the neural tube (Stone, 1922). Efforts to identify inductive influences in the lateral line system (comparable to the induction of the otic placode, ...
working draft - DAVID KAPLAN | Macquarie University
working draft - DAVID KAPLAN | Macquarie University

Molecular mechanisms of floor plate formation and neural patterning
Molecular mechanisms of floor plate formation and neural patterning

Complementary roles of basal ganglia and cerebellum in learning
Complementary roles of basal ganglia and cerebellum in learning

Neural Syntax: Cell Assemblies, Synapsembles, and
Neural Syntax: Cell Assemblies, Synapsembles, and

Current Challenges Facing the Translation of Brain
Current Challenges Facing the Translation of Brain

... Once spikes have been detected and multiple neuronal spikes discriminated (if desired), typically the rate of firing (i.e., spike rate) of the individual neuronal components is calculated. Both accuracy and ease of computational processing are dependent upon the combined choice of a spike rate estim ...
computational and in vitro studies of persistent activity
computational and in vitro studies of persistent activity

... Fig. 2. Excitatory and inhibitory mechanisms in an attractor network model for object working memory. (A) Example of network performance during a trial. The network consists of one pool of inhibitory neurons (upper rasters, labeled I) and six pools of excitatory neurons, five of them selective to di ...
Synaptic Pruning in Development: A Novel Account in Neural Terms
Synaptic Pruning in Development: A Novel Account in Neural Terms

... stabilizes at adult levels which are maintained until old age. The peak level of synaptic density in childhood is 50% ? 100% higher than adult levels, depending on the brain region. The phenomenon of synaptic over-growth and pruning was found in humans [Huttenlocher, 1979, Huttenlocher et al., 1982, ...
Goal-Directed Navigation based on Path Integration and Decoding
Goal-Directed Navigation based on Path Integration and Decoding

... among neurons that each receive grid cell inputs of a particular grid scale (for definitions, see Section 3.2). However, this mechanism assumes that there is a large selection of grid orientations for each particular grid scale, which is now known not to be the case (Stensola et al, 2012). Masson an ...
Zebrafish foxd3 is selectively required for neural crest specification
Zebrafish foxd3 is selectively required for neural crest specification

... may play a more important role during neural crest migration, by regulating the expression of cell–cell adhesion molecules (Cheung et al., 2005). Together, these studies indicate the importance of Foxd3 during neural crest development, but the lack of an in vivo mutant model has made it difficult to ...
SEGMENTATION OF NEURONS BASED ON ONE
SEGMENTATION OF NEURONS BASED ON ONE

... Then, a discriminant function is learned from the training set that allows determining how similar an unlabeled voxel is to the voxels in the background class. Finally, foreground voxels are assigned as those unlabeled voxels that are not classified as background. Our method was qualitatively and qu ...
Changes in the N1-P2 Complex after Speech
Changes in the N1-P2 Complex after Speech

... However, perception can be altered by experience. With little training, listeners can learn to form arbitrary categories (Carney, Widen, & Viemeister, 1977; McClaskey, Pisoni, & Carrell, 1983). For example, monolingual speakers of English were trained to distinguish between two pre-voiced /ba/ sylla ...
Neural tube defects and abnormal brain development in F52
Neural tube defects and abnormal brain development in F52

... observed include both exencephaly and spina bifida, and the phenotype exhibits partial penetrance with about 60% of homozygous embryos developing neural tube defects. Exencephaly is the prominent type of defect and leads to high prenatal lethality. Neural tube defects are observed in a smaller perce ...
Two-photon imaging and analysis of neural network dynamics
Two-photon imaging and analysis of neural network dynamics

... electrophysiological technique that has been applied in vivo is intracellular recording using either sharp glass electrodes or the patch-clamp technique (Chorev et al 2009). With intracellular recording the subthreshold membrane potential dynamics can be resolved, in particular synaptically induced ...
Neural Correlates of First-Person Perspective as One Constituent of
Neural Correlates of First-Person Perspective as One Constituent of

... scene from another person’s viewpoint (3PP) are likely to differ from taking a view of the same scene from one’s own perspective (1PP). Although the cognitive operations differ phenomenally, when perceiving a visual scene from another person’s viewpoint (3PP) or from one’s own perspective (1PP), bot ...
PDF
PDF

... and Quinn, 1985). Two such training cycles caused profound changes in behavior: animals exhibiting an untrained bias in ...
ABSTRACT BOOK  CHAMPALIMAUD NEUROSCIENCE
ABSTRACT BOOK CHAMPALIMAUD NEUROSCIENCE

... Are such codes are quantitatively sufficient to explain human performance? If so, how they are constructed by ventral stream cortical algorithms? Here, I will highlight recent progress on both questions. First, I will outline how systems neuroscience combined with human psychophysics reveals that so ...
A model for experience-dependent changes in the responses of inferotemporal neurons
A model for experience-dependent changes in the responses of inferotemporal neurons

... et al 1989a, b). The output threshold for all units in the model, θ, was set to 8.0. The fourth term represents feedback inhibition, which was the product of three analogous factors. ECl is the reversal potential of chloride, Hi represents the strength of the inhibitory synapse from the interneuron ...
Engineering new synaptic connections in the C. elegans connectome
Engineering new synaptic connections in the C. elegans connectome

Dopamine: generalization and bonuses
Dopamine: generalization and bonuses

Mirror Proposal 8-01 - USC - University of Southern California
Mirror Proposal 8-01 - USC - University of Southern California

... concerning the relation of the moving hand to an object that will readily generalize to the movements of others' hands. The model will involve a self-organization process which exploits bidirectional connectivity across F5, PF and STS areas to illuminate the developing role of STS and PF in the func ...
Significance of the cranial neural crest
Significance of the cranial neural crest

All-Optical Interrogation of Neural Circuits
All-Optical Interrogation of Neural Circuits

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Recurrent neural network

A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. This makes them applicable to tasks such as unsegmented connected handwriting recognition or speech recognition
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