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Neural Axis Representing Target Range in the Auditory
Neural Axis Representing Target Range in the Auditory

... the frequency-modulated-signal processing area of the auditory cortex of the mustache bat (Pteronotus parnellii rubiginosus), neurons respond poorly or not at all to synthesized orientation sounds or echoes alone but respond vigorously to echoes following the emitted sound with a specific delay from ...
3680Lecture29
3680Lecture29

... blindness called a scotoma • Identified using perimetry • note macular sparing ...
P312Ch04C_BeyondV1
P312Ch04C_BeyondV1

... 3) May be a separate area in the inferotemporal lobe containing neurons which respond to face-like stimuli. The fusiform face area has been identified in humans. It’s under the temporal lobe. 4) Ramachandran has suggested that there may be as many as 30 different processing modules. Each one contain ...
Genetic analysis of dopaminergic system development in zebrafish
Genetic analysis of dopaminergic system development in zebrafish

... control of vertebrate nervous system development. Here, we present an overview on the formation of dopaminergic neuronal groups in zebrafish and compare the positions of DA neurons in fish and mammals using the neuromere model of the vertebrate brain. Based on mutant analysis, we evaluate the role of ...
November 2000 Volume 3 Number Supp pp 1184
November 2000 Volume 3 Number Supp pp 1184

... Low spontaneous and selective high-activity states In contrast to the model in Fig. 2, PFC neurons in vivo are never silent but fire spontaneously at rates of 1–10 Hz between different trials of a working memory task, outside a task context, or even during the delay phases if they are not tuned to t ...
lecture #6
lecture #6

... 2. fusion of synaptic vesicles to PM - role for calcium in this fusion 3. release of NTs 4. opening of channels in PM of postsynaptic neuron (e.g. sodium) 5. postsynaptic potential develops – possible depolarization & triggering of AP in postsynaptic neuron ...
NervousSystem2
NervousSystem2

... structures of its axon called boutons. Depending on its function a single interneuron may have synapses with a few neurons, with hundreds, or with thousands of other neurons. The body and dendrites of a neuron within the CNS are covered with synaptic boutons of both excitatory and inhibitory neurons ...
(intermediate-range) elements in brain dynamics
(intermediate-range) elements in brain dynamics

... Appendix he considers some of the effects of nonlinearities on his model. These considerations, however, do not develop some important aspects of nonlinearities that have crucial impact on the properties of brain dynamics at ...
Nervous system Lab - Sonoma Valley High School
Nervous system Lab - Sonoma Valley High School

... twice as many neurons as you have now. The die-off of neurons occurs early in life, and with more room, the remaining neurons make many connections with other existing neurons. The degree of interconnectedness apparently determines our intelligence and memory. It is estimated that the human brain co ...
Parietal cortex neurons of the monkey related to the visual guidance
Parietal cortex neurons of the monkey related to the visual guidance

... Microelectrode penetrations were made mainly in the posterior bank of the intraparietal sulcus. Eye movements were recorded using the magnetic search coil technique (Robinson 1963; Judge et al. 1980), monitored with an oscilloscope and sampled by the A/D converter every 10 ms (Fig. 1 EM). We used vi ...
Loss of orexin/NARP neurons in human narcolepsy
Loss of orexin/NARP neurons in human narcolepsy

... mRNA, and cerebrospinal fluid levels of ORX are often reduced in patients with cataplexy. Mice and dogs lacking ORX or ORX receptors display narcolepsy-like symptoms similar to those observed in people. Further, mice and rats with an engineered loss of ORX neurons have a nearly identical narcolepsy ...
Receptive Fields
Receptive Fields

... differences are in the field parameters, which are overlapping by default, and the existence of inhibitory synapses between the three neurons. These synapses are part of a system known as lateral inhibition, in which neighboring receptive fields can often turn each other off in order to increase con ...
Cell Assembly Sequences Arising from Spike
Cell Assembly Sequences Arising from Spike

... long-lasting sequences in a recurrent network model. These sequences are generated in the presence of noisy, unstructured inputs to the network, mimicking stationary sensory input. Identical initial conditions generate similar sequences, whereas different initial conditions give rise to distinct seq ...
Extended Liquid Computing in Networks of Spiking Neurons
Extended Liquid Computing in Networks of Spiking Neurons

... imagine that we can use a liquid (e.g a glass of water) to perform computation; from the perspective of attractor dynamical systems, this does not make much sense, since the only stable state to which the liquid can converge after a perturbation (e.g a drop in the liquid) is a ”dead” state where it ...
Control of a Robot Arm with Artificial and Biological Neural Networks
Control of a Robot Arm with Artificial and Biological Neural Networks

... In a typical MEA, the cells are plated on glass prepared with binding proteins, allowed to bond, and then washed, so any cells that are not in contact with the glass are removed. As a result, all of the cells in the culture are in a single layer on the glass of the MEA. For the purposes of the plati ...
Neural ensemble coding and statistical periodicity: Speculations on
Neural ensemble coding and statistical periodicity: Speculations on

NEUR3041 Neural computation: Models of brain function 2014
NEUR3041 Neural computation: Models of brain function 2014

... Explain how Hebbian learning in recurrent connections between neurons can create an associative memory.  Describe how a set of examples of stimuli and correct responses can be used to train an artificial neural network to respond correctly via changes in synaptic weights governed by the firing rate ...
Bridging Rate Coding and Temporal Spike Coding
Bridging Rate Coding and Temporal Spike Coding

... Firing rates of spikes in the brain are thought to represent information in external stimuli. However, calculation in the brain often seems to complete in a shorter time scale than the time required for temporal averaging of spike signals necessary for obtaining firing rates. Actually, precisely tim ...
Development of the central and peripheral nervous system Central
Development of the central and peripheral nervous system Central

... the remaining cranial nerves develop within the brain stem − somatomotoric nuclei of nerves IV, V, VI, VII, IX, X, XI, XII − visceromotoric nuclei of nerves VII, IX, X − sensory ganglia of cranial nerves originating from ectodermal neural placodes and from the neural crest: nerves I, VIII, V, VII, I ...
feature analyzers in the brain
feature analyzers in the brain

...  maps  sensory world represented in brain map  toad: retina tectum  owl: auditory world ICX  bat: distance/velocity profiles cortex ...
Neural Networks – An Introduction
Neural Networks – An Introduction

... connections from each of the units in the preceding layer. • The unit performs a weighted sum of its inputs, and subtracts its threshold value, to give its activation level. • Activation level is passed through a sigmoid activation function to determine output. ...
lecture #6
lecture #6

... neuron measured when it is unstimulated – results from the build-up of negative ions in the cytosol along the inside of the neuron’s PM – the outside of the PM becomes more positive – this difference in charge can be measured as potential energy – measured in millivolts ...
Coefficient of Variation (CV) vs Mean Interspike Interval (ISI) curves
Coefficient of Variation (CV) vs Mean Interspike Interval (ISI) curves

... D. R. Smith and G. K. Smith, A statistical analysis of the continuous activity of single cortical neurons in the cat unanesthetized isolated forebrain, Biophys. J. 5 (1965) 47-74. ...
Request pdf
Request pdf

... parts of the cell are connected by a long and extremely slender axon that does not transmit action potentials and is thought to be incapable of transmitting graded potentials. That the cell body and the terminal arborization are indeed physiologically independent is suggested by the finding of Nelso ...
Document
Document

... Figure 3A.8 The dual functions of the autonomic nervous system The autonomic nervous system controls the more autonomous (or self-regulating) internal functions. Its sympathetic division arouses and expends energy. Its parasympathetic division calms and conserves energy, allowing routine ...
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Neural oscillation



Neural oscillation is rhythmic or repetitive neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons. At the level of neural ensembles, synchronized activity of large numbers of neurons can give rise to macroscopic oscillations, which can be observed in the electroencephalogram (EEG). Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural oscillations is alpha activity.Neural oscillations were observed by researchers as early as 1924 (by Hans Berger). More than 50 years later, intrinsic oscillatory behavior was encountered in vertebrate neurons, but its functional role is still not fully understood. The possible roles of neural oscillations include feature binding, information transfer mechanisms and the generation of rhythmic motor output. Over the last decades more insight has been gained, especially with advances in brain imaging. A major area of research in neuroscience involves determining how oscillations are generated and what their roles are. Oscillatory activity in the brain is widely observed at different levels of observation and is thought to play a key role in processing neural information. Numerous experimental studies support a functional role of neural oscillations; a unified interpretation, however, is still lacking.
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