Inferring spike-timing-dependent plasticity from spike train data
... One of the fundamental questions in computational neuroscience is how synapses are modified by neural activity [1, 2]. A number of experimental results, using intracellular recordings in vitro, have shown that synaptic plasticity depends on the precise pairing of pre- and post-synaptic spiking [3]. ...
... One of the fundamental questions in computational neuroscience is how synapses are modified by neural activity [1, 2]. A number of experimental results, using intracellular recordings in vitro, have shown that synaptic plasticity depends on the precise pairing of pre- and post-synaptic spiking [3]. ...
Data Visualization Optimization Computational Modeling of Perception
... applied to a diverse range of applications, from weather forecasting to the design of turbine blades. There are good reasons to believe that the ingredients are present for computational modeling to make a similar contribution to the science of data visualization. ...
... applied to a diverse range of applications, from weather forecasting to the design of turbine blades. There are good reasons to believe that the ingredients are present for computational modeling to make a similar contribution to the science of data visualization. ...
1 Spiking Neurons
... or T = 500 ms are typical, but the duration may also be longer or shorter. This definition of rate has been successfully used in many preparations, particularly in experiments on sensory or motor systems. A classical example is the stretch receptor in a muscle spindle [Adrian, 1926]. The number of s ...
... or T = 500 ms are typical, but the duration may also be longer or shorter. This definition of rate has been successfully used in many preparations, particularly in experiments on sensory or motor systems. A classical example is the stretch receptor in a muscle spindle [Adrian, 1926]. The number of s ...
A Computer Simulation of Olfactory Cortex with Functional
... ference between cortical responses was only 20% (Fig. 5) showing that training increased the robustness of the response to degradation of the stimulus. Storage of Two Patterns. The model was frrst trained on a random stimulus A for 1 second. The response vector for this case was saved. Then, continu ...
... ference between cortical responses was only 20% (Fig. 5) showing that training increased the robustness of the response to degradation of the stimulus. Storage of Two Patterns. The model was frrst trained on a random stimulus A for 1 second. The response vector for this case was saved. Then, continu ...
12-2 Neurons
... – The structure of neurons • The multipolar neuron – Common in the CNS » Cell body (soma) » Short, branched dendrites » Long, single axon ...
... – The structure of neurons • The multipolar neuron – Common in the CNS » Cell body (soma) » Short, branched dendrites » Long, single axon ...
View PDF - CiteSeerX
... Figure 1. Temporal estimation data from humans (A, B) or rats (C, D) using peak-interval timing procedures. In the peak-interval procedure used with humans, participants were instructed to watch as a blue square appeared on a computer screen and to be “aware” of the amount of time that passed (eithe ...
... Figure 1. Temporal estimation data from humans (A, B) or rats (C, D) using peak-interval timing procedures. In the peak-interval procedure used with humans, participants were instructed to watch as a blue square appeared on a computer screen and to be “aware” of the amount of time that passed (eithe ...
Artificial Intelligence in Network Intrusion Detection
... with one or more layers between input and output layer. Feedforward means that data flows in one direction from input to the output layer (i.e. forward). This type of network is trained with the error back-propagation learning algorithm. The true power and advantage of MLP lies in its ability to rep ...
... with one or more layers between input and output layer. Feedforward means that data flows in one direction from input to the output layer (i.e. forward). This type of network is trained with the error back-propagation learning algorithm. The true power and advantage of MLP lies in its ability to rep ...
Modeling stability in neuron and network function: the role of activity
... is, neurons that are generating single spikes followed by a sustained plateau phase. Although the voltage trajectories of these three model neurons are quite similar, they vary dramatically in their conductance densities: neuron 1 has a high Naþ conductance and a low delayed rectifier Kþ conductance ...
... is, neurons that are generating single spikes followed by a sustained plateau phase. Although the voltage trajectories of these three model neurons are quite similar, they vary dramatically in their conductance densities: neuron 1 has a high Naþ conductance and a low delayed rectifier Kþ conductance ...
PTE: Predictive Text Embedding through Large-scale
... unsupervised approaches normally learn the embeddings of words and/or documents by utilizing word co-occurrences in the local context (e.g., Skip-gram [18]) or at document level (e.g., paragraph vectors [10]). These approaches are quite efficient, scaling up to millions of documents. The supervised ...
... unsupervised approaches normally learn the embeddings of words and/or documents by utilizing word co-occurrences in the local context (e.g., Skip-gram [18]) or at document level (e.g., paragraph vectors [10]). These approaches are quite efficient, scaling up to millions of documents. The supervised ...
Contributions and challenges for network models in cognitive
... brain structural and functional connectivity have made several important contributions; for example, in the mapping of putative network hubs and network communities. Building on the importance of anatomical and functional interactions, network models have provided insight into the basic structures a ...
... brain structural and functional connectivity have made several important contributions; for example, in the mapping of putative network hubs and network communities. Building on the importance of anatomical and functional interactions, network models have provided insight into the basic structures a ...
Development of the spinal cord
... hemispheres of the brain. Still others—those of the internal capsule—will connect the cortical white matter to the brain stem, generally by way of the thalamus. • For example, the axons arising from the motor cortex will pass through the internal capsule to connect to the motor neurons in the spinal ...
... hemispheres of the brain. Still others—those of the internal capsule—will connect the cortical white matter to the brain stem, generally by way of the thalamus. • For example, the axons arising from the motor cortex will pass through the internal capsule to connect to the motor neurons in the spinal ...
Copy of Development of the spinal cord
... hemispheres of the brain. Still others—those of the internal capsule—will connect the cortical white matter to the brain stem, generally by way of the thalamus. • For example, the axons arising from the motor cortex will pass through the internal capsule to connect to the motor neurons in the spinal ...
... hemispheres of the brain. Still others—those of the internal capsule—will connect the cortical white matter to the brain stem, generally by way of the thalamus. • For example, the axons arising from the motor cortex will pass through the internal capsule to connect to the motor neurons in the spinal ...
Now you see it: frontal eye field responses to invisible targets
... more effective masking 4,5. Thompson and Schall trained monkeys to first fix their gaze on a point of light at the center of a computer screen. On most trials, a dim target spot was flashed at one of eight locations around the fixation point, one of which was within the receptive field of the FEF ne ...
... more effective masking 4,5. Thompson and Schall trained monkeys to first fix their gaze on a point of light at the center of a computer screen. On most trials, a dim target spot was flashed at one of eight locations around the fixation point, one of which was within the receptive field of the FEF ne ...
Tutorial on Pattern Classification in Cell Recording
... of the data and show that the same model works for distinguishing between these same conditions in a new set of data, then this gives us a significant degree of confidence that the current neural activity can reliably distinguish between these conditions, and that our model is capturing the reliabil ...
... of the data and show that the same model works for distinguishing between these same conditions in a new set of data, then this gives us a significant degree of confidence that the current neural activity can reliably distinguish between these conditions, and that our model is capturing the reliabil ...
Visual adaptation: Neural, psychological and computational aspects
... neighboring spatial regions of an image tend to be similar (Field, 1987; Ruderman & Bialek, 1994; Simoncelli & Olshausen, 2001). This means that information about any given point in the image is contained in the recent history of the image structure at that point (temporal context) and the structure ...
... neighboring spatial regions of an image tend to be similar (Field, 1987; Ruderman & Bialek, 1994; Simoncelli & Olshausen, 2001). This means that information about any given point in the image is contained in the recent history of the image structure at that point (temporal context) and the structure ...
On Line Isolated Characters Recognition Using Dynamic Bayesian
... Abstract: In this paper, our system is a Markovien system which we can see it like a Dynamic Bayesian Networks. One of the major interests of these systems resides in the complete training of the models (topology and parameters) starting from training data. The representation of knowledge bases on d ...
... Abstract: In this paper, our system is a Markovien system which we can see it like a Dynamic Bayesian Networks. One of the major interests of these systems resides in the complete training of the models (topology and parameters) starting from training data. The representation of knowledge bases on d ...
Brain Tumor Classification Using Wavelet and Texture
... suitable scale, by varying the spatial resolution and there is also a wide range of choices for the wavelet function. Ahmed Kharrat, Mohamed Ben Messaoud, Nacera Benamrane, Mohamed Abid [2], in 2009, proposed their work on, Detection of Brain Tumors in Medical Images. This paper proposes contrast en ...
... suitable scale, by varying the spatial resolution and there is also a wide range of choices for the wavelet function. Ahmed Kharrat, Mohamed Ben Messaoud, Nacera Benamrane, Mohamed Abid [2], in 2009, proposed their work on, Detection of Brain Tumors in Medical Images. This paper proposes contrast en ...
Do Sensory Neurons Secrete an Anti-Inhibitory
... aggrecan-adsorbed region, while not being able to do so if only one explant existed. This led to the notion that sensory neuron explants may produce an anti-inhibition factor. We set out to quantify this preliminary observation. From data examining both single explants and explants on either side of ...
... aggrecan-adsorbed region, while not being able to do so if only one explant existed. This led to the notion that sensory neuron explants may produce an anti-inhibition factor. We set out to quantify this preliminary observation. From data examining both single explants and explants on either side of ...
Words in the Brain - Rice University -
... • Primary visual and primary auditory are known to have specialized structures, across mammals • Higher level areas are – locally – highly uniform ...
... • Primary visual and primary auditory are known to have specialized structures, across mammals • Higher level areas are – locally – highly uniform ...
er81 is expressed in a subpopulation of layer 5
... Tracer injection, IHC and quantification of labeled cells Retrograde labeling with fluorescent microbeads and subsequent immunostaining were performed as described previously (Voelker et al., 2004). Adult rats were anesthetized with 2.7 mg/kg Hypnovel (Roche, Basel, Switzerland), Hypnorm (Janssen, T ...
... Tracer injection, IHC and quantification of labeled cells Retrograde labeling with fluorescent microbeads and subsequent immunostaining were performed as described previously (Voelker et al., 2004). Adult rats were anesthetized with 2.7 mg/kg Hypnovel (Roche, Basel, Switzerland), Hypnorm (Janssen, T ...
Do cortical areas emerge from a protocottex?
... its extent during development than at maturity, as it lacks many of the area-specific features characteristic of the adult. For instance, the primary somatosensory cortex of adult rodents contains a one-to-one representation of the mystacial vibrissae found on the muzzle, and sinus hairs present on ...
... its extent during development than at maturity, as it lacks many of the area-specific features characteristic of the adult. For instance, the primary somatosensory cortex of adult rodents contains a one-to-one representation of the mystacial vibrissae found on the muzzle, and sinus hairs present on ...
Finding a face in the crowd: parallel and serial neural mechanisms
... Abstract: At any given moment, our visual system is confronted with more information than it can process. Thus, attention is needed to select behaviorally relevant information in a visual scene for further processing. Behavioral studies of attention during visual search have led to the distinction b ...
... Abstract: At any given moment, our visual system is confronted with more information than it can process. Thus, attention is needed to select behaviorally relevant information in a visual scene for further processing. Behavioral studies of attention during visual search have led to the distinction b ...
Calcium-activated chloride channels: a new target to
... in diverse neurons of the central nervous system (CNS). Spike adaptation often follows extended periods of excitation of neurons, which generally accompanies the increase of intracellular calcium concentration via voltage-dependent calcium channels. This spike adaptation has been ascribed to the slo ...
... in diverse neurons of the central nervous system (CNS). Spike adaptation often follows extended periods of excitation of neurons, which generally accompanies the increase of intracellular calcium concentration via voltage-dependent calcium channels. This spike adaptation has been ascribed to the slo ...
Cortical Plasticity - Lund University Publications
... axons. Output to other cortical and subcortical regions proceeds primarily via pyramidal cells in LV and L-VI. There is probably a general flow of information between the cortical layers, but also a horizontal flow within the same layer. Horizontal connectivity is probably important for cortical map ...
... axons. Output to other cortical and subcortical regions proceeds primarily via pyramidal cells in LV and L-VI. There is probably a general flow of information between the cortical layers, but also a horizontal flow within the same layer. Horizontal connectivity is probably important for cortical map ...
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 ...