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A Comparison of Neural Spike Classification Techniques.
A Comparison of Neural Spike Classification Techniques.

... J. P. Stitt1, R. P. Gaumond1, J. L. Frazier1, and F. E. Hanson2 1 Pennsylvania State University, 2 University of Maryland at Baltimore ...
Hybrid Scheme for Modeling Local Field Potentials from Point
Hybrid Scheme for Modeling Local Field Potentials from Point

... conservation, the sum of all transmembrane currents, including all ionic and capacitive currents, must be zero for each neuron. In a point-neuron model, all transmembrane currents are collapsed in a single point in space. The net transmembrane current, and hence the extracellular potential, therefor ...
The Circuitry of V1 and V2 - UCSD Cognitive Science
The Circuitry of V1 and V2 - UCSD Cognitive Science

... emerged that neurons are grouped within the cortical sheet according to shared response characteristics, although such grouping is not apparent cytoarchitectonically. The continuing empirical problem has been to identify columns of cells by their common features. The task has matured to include unde ...
Summary - Academia Sinica
Summary - Academia Sinica

... • Medial thalamus (MT) nuclei mediate different aspects of nociceptive information to specific ACC areas, and that nociceptive information in the MT is modulated reciprocally by activities from the ACC. MM. Hsu et al. NeuroReport. 1997. ...
Cellular, synaptic and network effects of neuromodulation
Cellular, synaptic and network effects of neuromodulation

... action potentials separated by long interburst intervals. When we consider that biological neurons may display eight, ten, or more different voltage-dependent currents, and that the subunit composition of each channel type can regulate its kinetics and voltage-dependence (Hille, 2001), it is clear t ...
final scientific program
final scientific program

... Welcome to AREADNE 2014, the fifth AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles. One of the fundamental problems in neuroscience today is to understand how the activation of large populations of neurons gives rise to the higher order functions of the brain including le ...
Selective visual attention and perceptual coherence
Selective visual attention and perceptual coherence

... array (e.g. local feature contrast) with no top-down influences (except, of course, where the eyes are pointing). At successive stages of visual processing (e.g. LGN, V1, V4, etc.), top-down attentional influences increasingly modulate and refine neural representations (Figure 2). Contrary to many p ...
- MIT Press Journals
- MIT Press Journals

... states. If the weights have changed only slightly, the chains will already be close to their stationary distributions, and a few iterations will suffice to keep them close. In the limit of very small learning rates, therefore, the data-dependent and data-independent statistics will be almost unbiase ...
Visual and oculomotor selection: links, causes and
Visual and oculomotor selection: links, causes and

... tasks [18–20]. Thus far, these studies have added to the evidence of a causal role of human FEF in the willful deployment of spatial attention (see [21] for review). More recently, two studies examined whether microstimulation of the SC could affect covert spatial attention. As with the FEF, evidenc ...
An Efficient Learning Procedure for Deep Boltzmann Machines
An Efficient Learning Procedure for Deep Boltzmann Machines

... states. If the weights have changed only slightly, the chains will already be close to their stationary distributions, and a few iterations will suffice to keep them close. In the limit of very small learning rates, therefore, the data-dependent and data-independent statistics will be almost unbiase ...
Association of type I neurons positive for NADPH
Association of type I neurons positive for NADPH

... In addition to the sparsely scattered NADPHd neurons within the corpus callosum, positive neurons were evident along both the dorsal and ventral margins. These were less sparsely distributed (Figures 1 and 3); but since we consider these as a separate subpopulation, on the grounds of location and or ...
the resonate-and-fire neuron: time dependent and frequency
the resonate-and-fire neuron: time dependent and frequency

... to learn to perform certain desired tasks. The thesis represents a culmination of our endeavors over the past two years to understand nervous system function, and to reflect on the principles that govern engineered as well as living systems. I am grateful to Bucknell University and the Department of ...
Region Specific Micromodularity in the Uppermost Layers in Primate
Region Specific Micromodularity in the Uppermost Layers in Primate

... 0.36–1.49 mm2, using a ×20 objective lens. The size of the area examined was constrained by the extent of flatness within the region. This was frequently too small to allow for random sampling with a grid. Therefore, rather than employ an unbiased sampling procedure, we instead measured all the avai ...
Folie 1
Folie 1

... • compare actual output - right o., change weights ...
Variance and invariance of neuronal long
Variance and invariance of neuronal long

... representations in order to achieve stable behavioural performance. Yet, prominent changes in synaptic strength and connectivity also occur during normal sensory experience, indicating a certain degree of constitutive plasticity. This raises the question of how stable neuronal representations are on ...
Neural Interaction in Cat Primary Auditory Cortex. Dependence on
Neural Interaction in Cat Primary Auditory Cortex. Dependence on

... probability of making just one contact was -0.1. Probabilities for making more than one contact were negligibly small; thus in the system of pyramidal cell to pyramidal cell connections the influence of one neuron onto another’s is very weak. Transcolumnar interaction was suggested to be at least an ...
Stimulus Dependence of Local Field Potential Spectra: Experiment
Stimulus Dependence of Local Field Potential Spectra: Experiment

... In the following section, we define the structure and the equations of our model of network of spiking neurons and define and name all of its relevant parameters. Actual parameter values used in the simulations will be specified when appropriate. We consider a fully connected network of leaky integr ...
J. Neurophysiol. - Nonlinear Dynamics Group
J. Neurophysiol. - Nonlinear Dynamics Group

... the firing activity of specific populations of neurons to animal behaviors, defining sites with neuronal activity in particular behavioral contexts as the functional areas corresponding to those behaviors. Although such observations are interesting in themselves, these studies do not necessarily exa ...
Visual Receptive Field Properties of Neurons in the Superficial
Visual Receptive Field Properties of Neurons in the Superficial

... despite its importance in mouse vision and its usefulness in developmental studies. We have made single-unit extracellular recordings from superficial layers of the SC in urethane-anesthetized C57BL/6 mice. We first map receptive fields with flashing spot stimuli and show that most SC neurons have s ...
optimization of neuronal cultures derived from human induced
optimization of neuronal cultures derived from human induced

... Cell Culture. Post-mitotic human neurons derived from iPSCs (“iCell® Neurons”, Cellular Dynamics International, USA) and primary neuronal cultures isolated from E18 rat embryos were seeded in 96-well plates (Greiner) coated with poly-D-lysine with or without laminin. For some experiments, iCell Neur ...
Inhibitory interneurons in the piriform cortex
Inhibitory interneurons in the piriform cortex

... and dendrites but only a few neuronal somata. The more superficial part (Layer I a) receives afferent axons from the LOT, whereas the deeper part (Layer I b) receives associational fibres from within the PC. Layer II is densely packed with the somata of glutamatergic principal neurons, the main inpu ...
The neural basis of the speed–accuracy tradeoff - Eric
The neural basis of the speed–accuracy tradeoff - Eric

... have researchers begun to study the neural basis of SAT, using experimental methods and neurocomputational models. This review focuses on three key aspects of SAT that this recent work has helped bring to the fore: (i) what processing stage does SAT affect? (ii) does speed emphasis cause an increase ...
“Congruent” and “Opposite” Neurons: Sisters for Multisensory
“Congruent” and “Opposite” Neurons: Sisters for Multisensory

... Because heading direction is a circular variable whose values are in range (−π, π], we adopt the von Mises distribution [14] (Supplementary Information Sec. 1). Compared with the Gaussian distribution, the von Mises distribution is more suitable and also more accurate to describe the probabilistic i ...
Learning place cells, grid cells and invariances: A unifying model
Learning place cells, grid cells and invariances: A unifying model

... mathematical analysis). In the simulations, the randomness manifests itself in occasional defects in the emerging firing pattern (Fig. 1h, bottom). The above reasoning suggests that the width of individual firing fields is determined by the smoothness ...
Cortical Algorithms for Perceptual Grouping
Cortical Algorithms for Perceptual Grouping

... convenient to use the term base-grouping for a feature conjunction that is coded by a single neuron, although it is just another word for the neuron’s tuning. The complexity of tuning (and thus of the base-groupings) increases in higher visual areas where RFs are larger. Many neurons in area V4 are ...
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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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