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Encoding and Retrieval of Episodic Memories: Role of Hippocampus
Encoding and Retrieval of Episodic Memories: Role of Hippocampus

... time, as described below, this model is closely related to many previous theories of the function of individual hippocampal subregions (Marr, 1971; McNaughton and Morris, 1987; Levy, 1989; Eichenbaum and Buckingham, 1990; McNaughton, 1991; Treves and Rolls, 1992; O’Reilly and McClelland, 1994; McCle ...
Regulation of Neuroblast Cell-Cycle Kinetics Plays a Crucial Role in
Regulation of Neuroblast Cell-Cycle Kinetics Plays a Crucial Role in

... to ensure optimal blackening levels, which minimizes the problem of f used grains (Dörmer, 1967; Rogers, 1967; Dörmer and Brinkmann, 1968; Dörmer and Möller, 1968; Sidman, 1970). This is illustrated for individual neurons in different layers of parietal area 3 after injection on E14.5 (Fig. 1). ...
cp_kellermann_launay_17092010
cp_kellermann_launay_17092010

... Lariboisière, Paris and the mental health network, Santé Mentale), sheds new light on the mechanisms of action of these drugs which have been used for more than 30 years and are heavily consumed in France. In particular, the researchers have revealed, for the first time, a sequence of reactions caus ...
CASE 47
CASE 47

... subthalamic nucleus, and substantia nigra. The basal ganglia receive synaptic input from motor cortex (as well as from sensory association and prefrontal cortex) and send their output to the thalamus, which then feeds back to the cortex. Although the functions of the basal ganglia are not well under ...
Cnidarians and the evolutionary origin of the nervous system Review
Cnidarians and the evolutionary origin of the nervous system Review

... the sensory and ganglionic neurons and their processes are interspersed among the epithelial cells of both layers, as an indication of a diffused nervous system. In addition to the nerve net, several cnidarian species have appeared to have a considerable degree of regionalization of the neural struc ...
empathize with fictional characters
empathize with fictional characters

... bodily activity. The abstract symbols of language cannot relate only to other abstract symbols, but must be mapped to the world, if they are to convey meaning (Glenberg and Kaschak 2002). This embodied semantic framework has generated many experiments providing links between language and action (Hau ...
Impact of correlated inputs to neurons
Impact of correlated inputs to neurons

... the activity level of a neuron by background synaptic noise statistics has been demonstrated in in vitro experiments (Sceniak and Sabo 2010). Here, we studied the interplay of multiple potential rate modulating factors observed in experiments, and identified several scenarios which lead to a strong ...
Visual Object Recognition: Do We Know More Now Than We Did 20
Visual Object Recognition: Do We Know More Now Than We Did 20

... Conversely, the sensitivity constraint is satisfied by two properties of the proposed representation. First, generalized cones—a twodimensional cross-section of any shape swept along an axis of that shape—can capture an infinite number of part shapes. Clearly, such powerful representational units have ...
Physiology of functional and effective networks in epilepsy
Physiology of functional and effective networks in epilepsy

... Therefore, recent studies have investigated the interplay between structure and function (Deco et al., 2012; Whalen et al., 2012; Sritharan and Sarma, 2014). A fairly recent study (van den Heuvel et al., 2009) combined 3 Tesla resting-state fMRI (RS-fMRI) time-series data with DTI scans on healthy s ...
A New Measure for the Accuracy of a Bayesian Network
A New Measure for the Accuracy of a Bayesian Network

... network. Bayesian Network learning algorithms, such as the Maximum Weight Spanning Tree (MWST) algorithm [2], provide some sort of an evaluation scheme for a Bayesian network. However, each algorithm is based on its own heuristic methods, which do not specify clearly what the characteristics of a Ba ...
Distinct or Gradually Changing Spatial and Nonspatial
Distinct or Gradually Changing Spatial and Nonspatial

... of dorsal hippocampal neurons. They showed that unlike dorsal neurons, which are active in a small area of the environment, ventral neurons usually fired at multiple locations and sometimes over ...
Saccade-related spread of activity across superior colliculus may
Saccade-related spread of activity across superior colliculus may

... with respect to the peripheral field. The visual projection forms a nonlinear, approximately logarithmic, map on the SC. Models of the SC commonly assume that the function defining the strength of neuronal connections within this map (the kernel) depends only on the distance between two neurons, and ...
The Structure of Spatial Receptive Fields of Neurons in Primary
The Structure of Spatial Receptive Fields of Neurons in Primary

... situ, and the amplitude and phase of a pure tone, at frequencies between 156 Hz and 40 kHz, were stored by computer. These calibration data, together with the impulse response of the delivery system (Chen et al., 1994), were used to correct the VAS signals for the spectrum-altering effects of the so ...
Bursting Neurons Signal Input Slope
Bursting Neurons Signal Input Slope

... integration was performed with a fourth-order Runge –Kutta method using a 0.01 msec time step. Bif urcation analysis was done using AUTO (Doedel, 1981) in X PP (Ermentrout, 2002). We simulated two other models that differ in the specific ionic mechanisms of burst generation but belong the same broad ...
Neuronal correlates of decision
Neuronal correlates of decision

... When forming a decision based on sensory information, where and how in the brain do the neuronal responses that encode the sensory stimuli translate into responses that encode the decision? We investigated this question using a vibrotactile sequential discrimination task (Fig. 1). In this two-altern ...
Anatomy Review
Anatomy Review

... • Electrical current cannot flow directly from one neuron to the other. •A chemical, called a neurotransmitter, is released from the sending axon and carries the signal to the next neuron. • Chemical synapses transmit signals more slowly than electrical synapses but the signal may be either excitato ...
An ultra small array of electrodes for stimulating multiple
An ultra small array of electrodes for stimulating multiple

... et al., 2003) to stimulate neural fibers. However, limitations on electrode densities have restricted the study of neighboring synapses on an individual neuron. The technique of focal photolysis of caged glutamate offers a high degree of control over the spatiotemporal characteristics of stimuli to ...
A New Approach to Classification with the Least Number of Features
A New Approach to Classification with the Least Number of Features

... to deal with datasets that contain only very few relevant features but many irrelevant noise dimensions. In practise, these scenarios often arise in the analysis of biological datasets, such as tissue classification using microarrays [1], identification of disease-specific genome mutations or distin ...
SYNAPTIC ENERGY DRIVES THE INFORMATION PROCESSING
SYNAPTIC ENERGY DRIVES THE INFORMATION PROCESSING

... pointed out in the above cited papers, these findings raise questions about the energy related aspects of such behavior. Specifically, they call for investigating the kind of contribution attributed to the synapses in generating stable representations of input information among cortical neural ensem ...
Response characteristics of neurons in the pulvinar of awake cats to
Response characteristics of neurons in the pulvinar of awake cats to

... movements. Extracellular cell activity during saccades, saccade-like image shifts, and various stationary visual stimuli was recorded together with the animals’ eye positions. All neurons analyzed had receptive fields that covered most of the central 80×80° of the animals’ visual field and did only ...
Saccade-Related Spread of Activity Across Superior Colliculus May
Saccade-Related Spread of Activity Across Superior Colliculus May

... with respect to the peripheral field. The visual projection forms a nonlinear, approximately logarithmic, map on the SC. Models of the SC commonly assume that the function defining the strength of neuronal connections within this map (the kernel) depends only on the distance between two neurons, and ...
Saccade-Related Spread of Activity Across
Saccade-Related Spread of Activity Across

... with respect to the peripheral field. The visual projection forms a nonlinear, approximately logarithmic, map on the SC. Models of the SC commonly assume that the function defining the strength of neuronal connections within this map (the kernel) depends only on the distance between two neurons, and ...
Cognon Neural Model Software Verification and
Cognon Neural Model Software Verification and

... inspired machine learning technology to build solutions that help companies automatically and intelligently act on their data. The company was founded by Jeff Hawkins, who previously founded the Redwood Neuroscience Institute, a scientific institute focused on understanding how the neocortex process ...
Polarization-sensitive and light-sensitive neurons in two parallel
Polarization-sensitive and light-sensitive neurons in two parallel

... not stained. Graded changes in membrane potential were not observed in any of the recordings and, correspondingly, the soma and presumed dendritic input arborizations were always in the brain hemisphere contralateral to the recording site. Since all of the 15 unstained neurons were recorded in the r ...
xiao-ying-lu-southeast-university
xiao-ying-lu-southeast-university

... Spontaneous electrical signal or induced signal can be detected from actue brain and heart slices placed on the MEA through MEA system. Then further research about neural system and autonomic nervous system could be carried out. ...
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Convolutional neural network

In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field. Convolutional networks were inspired by biological processes and are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. They are widely used models for image and video recognition.
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