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Spike sorting: the overlapping spikes challenge
Spike sorting: the overlapping spikes challenge

... of neurons. Due to the fact that neurons produce spikes with stereotypic shapes the waveforms can be quite similar. The use of multichannel electrodes leads to a greater dissimilarity due to the characteristic amplitude distribution and consequently provides a better separability. The runtime and th ...
The Autonomic Nervous System
The Autonomic Nervous System

... postganglionic neurons (4-15 pre to one post) •  A single synaptic event is not sufficient to initiate an action potential in the postganglionic neurons, but the summation of multiple events is required to initiate it •  Divergence: relatively few preganglionic neurons synapse with many postganglion ...
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence

... Hypothesis: the F5 mirror neurons develop by selecting, via re-afferent connections, patterns of visual input describing those relations of hand shapes and motions to objects effective in visual guidance of a successful grasp. The validation here is computational: if the hypothesis is correct, we wi ...
Computational physics: Neural networks
Computational physics: Neural networks

... also measure the time between subsequent spikes, called the inter-spike intervals (ISIs). In fig. 4, we see some examples. In some cases, subsequent ISIs are correlated, in some cases they are not. The effect of a presynaptic spike on the post-synaptic neuron is a local change in the membrane potent ...
Study on Future of Artificial Intelligence in Neural Network
Study on Future of Artificial Intelligence in Neural Network

... an interconnected group of natural or artificial neurons that use a mathematical formula for information processing that is based on an approach for computation purposes. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows throug ...
Voltage-Sensitive Dye Imaging: Technique review and Models
Voltage-Sensitive Dye Imaging: Technique review and Models

... (VSDI). This optical imaging technique offers the possibility to visualize, in real time, the cortical activity of large neuronal populations with high spatial resolution (down to 20-50 µm) and high temporal resolution (down to the millisecond). With such resolutions, VSDI appears to be the best tec ...
Evolutionary Neurotheology - UTK-EECS
Evolutionary Neurotheology - UTK-EECS

... a scientific theory of consciousness, which must explain subjective phenomena. Nevertheless, a reduction of the complex to the simple is important in any science, and so we may ask how it can be accomplished for consciousness. We may begin to simplify the phenomenal world by dividing it according to ...
Temporal delays among place cells determine the frequency of
Temporal delays among place cells determine the frequency of

... oscillated at a higher frequency than the LFP and the POP (Fig. 3 F and G), indicating that the frequency of the global output of place cells is slower than that of the constituent neurons. To understand better why the summed activity of neurons, reflected by the LFP, oscillates slower than the frequ ...
This file has Chapter II: Structural differentiation of the brain • Neural
This file has Chapter II: Structural differentiation of the brain • Neural

... folds) by a midline depression, the neural groove, which also defines a longitudinal axis bounded rostrally by the oropharyngeal membrane and caudally by the primitive (Hensen’s) node. According to Källén (1952), the mouse neural groove has a dual origin, appearing first (at the one somite stage; al ...
Induction of c-fos Expression in Hypothalamic Magnocellular
Induction of c-fos Expression in Hypothalamic Magnocellular

Rebuilding Brain Circuitry with Living Micro
Rebuilding Brain Circuitry with Living Micro

... Prominent neuropathology following trauma, stroke, and various neurodegenerative diseases includes neuronal degeneration as well as loss of long-distance axonal connections. While cell replacement and axonal pathfinding strategies are often explored independently, there is no strategy capable of sim ...
Chapter 3 Part 1 - Doral Academy Preparatory
Chapter 3 Part 1 - Doral Academy Preparatory

... Voltage change at receptor site – postsynaptic potential (PSP) – Not all-or-none – Changes the probability of the postsynaptic neuron firing ...
Control of movement direction - Cognitive Science Research Group
Control of movement direction - Cognitive Science Research Group

... If cortical planning were to take place in motor (joint or muscles) coordinates, it would have the advantage of taking into account the physical constraints but it may result in movements that are not adequate in the task space (Hildreth and Hollerbach, 1985). That is, because the joint–to–spatial c ...
empathize with fictional characters
empathize with fictional characters

... empathize with fictional characters of all kinds, in movies, plays, literature, and so on, we focus, in this chapter, specifically on fictional characters from novels. The neural mechanisms that we discuss here can be broadly defined as ‘mirroring neural mechanisms.’ Mirror neurons, as we will later dis ...
Role of the Preoptic-Anterior Hypothalamus in
Role of the Preoptic-Anterior Hypothalamus in

... different electrophysiological studies, including tissue-slice studies, where recorded cold sensitivity is often lost during perfusions with high magnesium–low calcium media that reversibly block synaptic transmission [36, 37]. Intracellular recordings also indicate that the thermosensitivity of col ...
Frequency-Dependent Processing in the Vibrissa Sensory System
Frequency-Dependent Processing in the Vibrissa Sensory System

... In addition to lemniscal foci such as VPm and the SI barrels, vibrissa stimulation also drives activity in the paralemniscal pathway, a parallel network of brain stem, thalamic, and cortical regions that may play a crucial role in frequency-dependent processing of vibrissa stimuli (Ahissar et al. 20 ...
Some text - (canvas.brown.edu).
Some text - (canvas.brown.edu).

... Once you have successfully made the muscle twitch, more tests can be conducted. Try the following suggestions and write down the names of the neurons you used. Make the muscle twitch using two neurons. ________________________________ Make the muscle twitch using three neurons. _____________________ ...
Rhythmic Spontaneous Activity in the Piriform Cortex
Rhythmic Spontaneous Activity in the Piriform Cortex

... Figure 2. Characteristics of the spontaneous rhythmic activity in the piriform network. (A) Autocorrelogram and mean frequency (horizontal line) of multiunit activity in layer III. The inset shows how duration was measured at the point where the mean frequency line crossed the central peak. The 2 d ...
An Introduction to the ANS and Higher
An Introduction to the ANS and Higher

... • If nerve is inactive under normal conditions, can only increase activity • If nerve maintains background level of activity, can increase or decrease activity • Autonomic motor neurons • Maintain resting level of spontaneous activity • Background level of activation determines autonomic tone • Sign ...
Introduction to Psychology - Shoreline School District
Introduction to Psychology - Shoreline School District

...  Motor Neurons  carry outgoing information from the CNS to muscles and glands ...
Connections of the Hypothalamus
Connections of the Hypothalamus

Decision Making in Recurrent Neuronal Circuits
Decision Making in Recurrent Neuronal Circuits

... this computational perspective. The focus will be on basic computations: (1) accumulation of evidence (what is the cellular basis of temporal accumulation of information?), (2) formation of a categorical choice (what is the termination rule for a deliberation process in neuronal terms?); (3) reward- ...
Solving the Problem of Negative Synaptic Weights in Cortical Models
Solving the Problem of Negative Synaptic Weights in Cortical Models

... a i (x) as a real-valued function (i.e., a rate code) to simplify the analysis, all of the simulations here are performed using spike trains. The methods used here are equivalent for both rate and spiking neuron models (Eliasmith & Anderson, 2003). This model can be used to match the experimentally ...
Brain activity during non-automatic motor production of discrete multi
Brain activity during non-automatic motor production of discrete multi

... the motor/non-motor distinction, but instead to the difference between timing via automatic movement and other timing. Existing studies [15,16] examining brain activity during timing by non-automatic movement have not convincingly settled this question. One [15] showed activation of the bilateral DL ...
Towards an Empirically Grounded Predictive Coding Account of
Towards an Empirically Grounded Predictive Coding Account of

... predictions sent from the vPMC and actual sensory input from the pSTS. Although human neuroimaging studies—which are confined to investigating the macroscopic level of brain organization— can be informative about cortical function, empirical support for the predictive coding account of action unders ...
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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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