Memory from the dynamics of intrinsic membrane currents
... is a prototypic bursting neuron, an extensive biophysical literature on its membrane currents and their modulation has been gathered (19), and a detailed model of this neuron and its modulation has been developed (16, 17). This model has the interesting feature that it can display different modes of ...
... is a prototypic bursting neuron, an extensive biophysical literature on its membrane currents and their modulation has been gathered (19), and a detailed model of this neuron and its modulation has been developed (16, 17). This model has the interesting feature that it can display different modes of ...
Artificial Neural Network Hybrid Algorithm Combimed with Decision
... briefly some areas of applications including ones in decision support. The data set that was used in this paper, Iris flower data set, is in [2]. Reference [3] explains how the use of rough set theory in an organism can be successfully used in helping to overcome the downfalls of using the decision ...
... briefly some areas of applications including ones in decision support. The data set that was used in this paper, Iris flower data set, is in [2]. Reference [3] explains how the use of rough set theory in an organism can be successfully used in helping to overcome the downfalls of using the decision ...
A Biologically Plausible Spiking Neuron Model of Fear Conditioning
... through the same channel, and high-dimensional representations of context and stimuli. There are also critical structural differences between the models: most notably in the way context-dependent extinction is implemented. We also propose a novel, but biologically plausible hippocampal circuit that ...
... through the same channel, and high-dimensional representations of context and stimuli. There are also critical structural differences between the models: most notably in the way context-dependent extinction is implemented. We also propose a novel, but biologically plausible hippocampal circuit that ...
Maturation of Layer V Pyramidal Neurons in the Rat Prefrontal
... 1994; Weinberger and Berman 1996). Although the causes for such malfunction may be complex, many studies suggest abnormalities that occur during early postnatal development (Jones 1997; Lewis and Levitt 2002; Raedler et al. 1998). Electrical activities play important roles in developmental processes ...
... 1994; Weinberger and Berman 1996). Although the causes for such malfunction may be complex, many studies suggest abnormalities that occur during early postnatal development (Jones 1997; Lewis and Levitt 2002; Raedler et al. 1998). Electrical activities play important roles in developmental processes ...
Dynamic Stochastic Synapses as Computational Units
... an excitatory neuron to an inhibitory neuron, which sends feedback directly to the presynaptic terminals. They showed through computer simulations that tuning the relative contributions of excitatory and inhibitory mechanisms can selectively increase the network output cross-correlation for certain ...
... an excitatory neuron to an inhibitory neuron, which sends feedback directly to the presynaptic terminals. They showed through computer simulations that tuning the relative contributions of excitatory and inhibitory mechanisms can selectively increase the network output cross-correlation for certain ...
November 2000 Volume 3 Number Supp pp 1184
... in vivo during delay tasks are captured by the model32-34. For example, during simulated delayed matching-to-sample tasks, some model neurons respond only during cue presentation, some only during the delay period, and others during both phases; some model neurons respond to intervening stimuli pres ...
... in vivo during delay tasks are captured by the model32-34. For example, during simulated delayed matching-to-sample tasks, some model neurons respond only during cue presentation, some only during the delay period, and others during both phases; some model neurons respond to intervening stimuli pres ...
Distributed Systems Diagnosis Using Belief
... Observations are incorporated into the process via δ-functions as local potential for each node in E. When that is done, bi (xi ) becomes the approximation of the posterior probability P (xi |e). One of the attractive features of belief propagation for our application is that the algorithm is natura ...
... Observations are incorporated into the process via δ-functions as local potential for each node in E. When that is done, bi (xi ) becomes the approximation of the posterior probability P (xi |e). One of the attractive features of belief propagation for our application is that the algorithm is natura ...
Corticothalamic feedback and sensory processing
... Several excellent reviews discussing this second category of proposed roles have recently been published [4–6, 10–16]. In this review, we focus our discussion on the first category — the effects of cortical feedback on sensory responses and receptive field properties. As the anatomical properties of ...
... Several excellent reviews discussing this second category of proposed roles have recently been published [4–6, 10–16]. In this review, we focus our discussion on the first category — the effects of cortical feedback on sensory responses and receptive field properties. As the anatomical properties of ...
Learning Vector Representations for Sentences
... 2.4 The role of the hidden layer in a two-layer feed-forward neural network is to project the data onto another vector space in which they are now linearly separable. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.5 A four-layer neural network for face recognition. Higher layers (i.e. ...
... 2.4 The role of the hidden layer in a two-layer feed-forward neural network is to project the data onto another vector space in which they are now linearly separable. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.5 A four-layer neural network for face recognition. Higher layers (i.e. ...
Melting the Iceberg
... quite a bit about is circuitry, we understand the basic response properties of its neurons, and we have a fairly clear idea of the computations that it performs. These computations are complex enough to be interesting and yet simple enough to study in detail. The property of V1 neurons that has capt ...
... quite a bit about is circuitry, we understand the basic response properties of its neurons, and we have a fairly clear idea of the computations that it performs. These computations are complex enough to be interesting and yet simple enough to study in detail. The property of V1 neurons that has capt ...
Lecture notes Neural Computation
... The brain is a complex computing machine which is evolving to give the “fittest” output to a given input. Neural computation has as goal to describe the function of the nervous system in mathematical terms. By analysing or simulating the resulting equations, one can better understand its function, r ...
... The brain is a complex computing machine which is evolving to give the “fittest” output to a given input. Neural computation has as goal to describe the function of the nervous system in mathematical terms. By analysing or simulating the resulting equations, one can better understand its function, r ...
Learning Strengthens the Response of Primary Visual Cortex to
... Studies of V1 with single-unit recording report different neural effects of learning than those observed here [14–16]. None of the studies reported increases in either the number or contrast gain of neurons that respond to the stimulus. Two studies nevertheless showed neural changes that can potenti ...
... Studies of V1 with single-unit recording report different neural effects of learning than those observed here [14–16]. None of the studies reported increases in either the number or contrast gain of neurons that respond to the stimulus. Two studies nevertheless showed neural changes that can potenti ...
An Extended Model for Stimulus Onset Asynchrony (SOA) in Stroop
... case: for a comprehensive review, see [18]). In the color naming task, stimulus feature from one dimension (color) is a target, while that from another dimension (word) becomes a distractor. The control-condition cards were the same as the experimental cards except that the text was replaced with co ...
... case: for a comprehensive review, see [18]). In the color naming task, stimulus feature from one dimension (color) is a target, while that from another dimension (word) becomes a distractor. The control-condition cards were the same as the experimental cards except that the text was replaced with co ...
NEURAL NETWORKS AND FUZZY SYSTEMS
... n-by-p matrix of real number whose entries are the synaptic efficacies. m ij the ijth synapse is excitatory if m ij 0 inhibitory if m ij 0 The matrix M describes the forward projections from neuron field FX to neuron field FY The matrix N describes the backward projections from neuron field FY t ...
... n-by-p matrix of real number whose entries are the synaptic efficacies. m ij the ijth synapse is excitatory if m ij 0 inhibitory if m ij 0 The matrix M describes the forward projections from neuron field FX to neuron field FY The matrix N describes the backward projections from neuron field FY t ...
Article
... each neuron in the network contains for the discrimination of both sets of stimuli. Mutual information was determined based on the number of spikes in each neuron (see Experimental Procedures). The neurons containing information for the [100] 3 [200] and the [150; 100] 3 [150; 200] discriminations f ...
... each neuron in the network contains for the discrimination of both sets of stimuli. Mutual information was determined based on the number of spikes in each neuron (see Experimental Procedures). The neurons containing information for the [100] 3 [200] and the [150; 100] 3 [150; 200] discriminations f ...
Microcircuits in visual cortex Kevan AC Martin
... Schematic of connectivity within the orientation map of visual cortex. Optical recordings of intrinsic signals rendered in false color provide striking images of the tangential organization of the cortical orientation map. The maps are generated by presenting stimuli at different orientations and re ...
... Schematic of connectivity within the orientation map of visual cortex. Optical recordings of intrinsic signals rendered in false color provide striking images of the tangential organization of the cortical orientation map. The maps are generated by presenting stimuli at different orientations and re ...
Huber et al. (2008), Sparse optical microstimulation in barrel cortex
... detection accuracy (Fig. 3d). However, performance reached asymptotic levels at remarkably low numbers of directly activated neurons; the range between minimal detection and saturating performance was only a few hundred neurons. Activated ChR2–GFP-positive neurons were distributed over most of the b ...
... detection accuracy (Fig. 3d). However, performance reached asymptotic levels at remarkably low numbers of directly activated neurons; the range between minimal detection and saturating performance was only a few hundred neurons. Activated ChR2–GFP-positive neurons were distributed over most of the b ...
a scaling cross platform tool for the analysis of neurophysiological data
... will show a weaker correlation reflecting their shared input from A. The study of the correlation between multiple spike trains offers the opportunity to map the underlying neuronal network structure and interpret the neural code being used to transmit information, but faces a considerable computati ...
... will show a weaker correlation reflecting their shared input from A. The study of the correlation between multiple spike trains offers the opportunity to map the underlying neuronal network structure and interpret the neural code being used to transmit information, but faces a considerable computati ...
Free PDF
... This paper presents an approach for computer network traffic characterization by using Time Series Analysis and Computational Intelligence techniques. HTTP network traffic datasets grouped into different periods of day were analyzed under Kurtosis, DFA and SOM-based clustering algorithms. The result ...
... This paper presents an approach for computer network traffic characterization by using Time Series Analysis and Computational Intelligence techniques. HTTP network traffic datasets grouped into different periods of day were analyzed under Kurtosis, DFA and SOM-based clustering algorithms. The result ...
The role of early visual cortex in visual integration: a neural model of
... Here, we investigated how V1 could serve to integrate and coordinate the computation of the identity (WHAT) and the location (WHERE) of objects in a visual scene, using the recurrent interaction between V1 and the dorsal and ventral streams. The system, as shown in Fig. 1, is minimal and serves prim ...
... Here, we investigated how V1 could serve to integrate and coordinate the computation of the identity (WHAT) and the location (WHERE) of objects in a visual scene, using the recurrent interaction between V1 and the dorsal and ventral streams. The system, as shown in Fig. 1, is minimal and serves prim ...
NIPS/Dec99/notebook3
... improves the amount of data collected, and improvement of the motor response serves to better select the peripheral somatosensory inputs to be centrally transmitted. In this review, we summarize evidence that the sensorimotor integration begins at the level of the second-order neurons of the somatos ...
... improves the amount of data collected, and improvement of the motor response serves to better select the peripheral somatosensory inputs to be centrally transmitted. In this review, we summarize evidence that the sensorimotor integration begins at the level of the second-order neurons of the somatos ...
Functional Clustering Drives Encoding Improvement in a
... invasive in vivo observation of rapid sensory circuit development, from differentiation [22] to mature neurons driving behavioral responses [23]. Studies in the developing brain have described mechanisms controlling large-scale circuit patterning [24], finescale morphogenesis [21], and rules by whic ...
... invasive in vivo observation of rapid sensory circuit development, from differentiation [22] to mature neurons driving behavioral responses [23]. Studies in the developing brain have described mechanisms controlling large-scale circuit patterning [24], finescale morphogenesis [21], and rules by whic ...
RESEARCH LETTERS 3 Marwood RP. Disappearance of
... filamentous projections. 39.9% of the DAT* neurons were found in the putamen, 11.6% in the caudate nucleus, 16.3% in the globus pallidus externa, 6.2% in the globus pallidus interna, and 25.9% in the adjacent internal capsule and in particular the ansa lenticularis. In eight of the ten brains from p ...
... filamentous projections. 39.9% of the DAT* neurons were found in the putamen, 11.6% in the caudate nucleus, 16.3% in the globus pallidus externa, 6.2% in the globus pallidus interna, and 25.9% in the adjacent internal capsule and in particular the ansa lenticularis. In eight of the ten brains from p ...
Artificial Intelligent Application to Power System Protection
... is attached to each neuron and the training enables adjusting of different weights according to the training set. The ANN techniques are attractive because they do not require tedious knowledge acquisition, representation and writing stages and, therefore, can be successfully applied for tasks not f ...
... is attached to each neuron and the training enables adjusting of different weights according to the training set. The ANN techniques are attractive because they do not require tedious knowledge acquisition, representation and writing stages and, therefore, can be successfully applied for tasks not f ...