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Neurophysiological and Computational Principles of Cortical
Neurophysiological and Computational Principles of Cortical

... 1029). Presumably, cortical networks in wakefulness are predominantly asynchronous at the same time weak oscillations and selective coherence are present. At the single-neuron level, spike discharges of cortical cells are highly irregular, characterized by some measures as approximate Poisson proces ...
The Role of Neurotrophins in Neurotransmitter Release
The Role of Neurotrophins in Neurotransmitter Release

... transmission at excitatory hippocampal synapses (Gasparini and others 2001). Taken together, these observations suggest that Ca2+ channels known to be involved in neurotransmitter release at small central synapses are a likely site for the initial modulatory action of BDNF at presynaptic terminals. ...
repo
repo

... Genetic representation Ak/Y ; UAS Gal80ts, D::E/ Sco; F gal4, UAS RFP/ TM6b, Tb X Ak/ FM7; ∆B; P{EP}C/ TM3, Act GFP, Ser http://flybase.org/static_pages/docs/nomenclature/nomenclature3.html ...
Respiratory-related neurons of the fastigial nucleus in response to
Respiratory-related neurons of the fastigial nucleus in response to

... reflexes. After paralysis of the animal, supplemental anesthetic was administered when irregularities were observed in ABP, heart rate, and respiratory rate and pattern. To minimize movement of brain by mechanical ventilation, a bilateral pneumothorax was created. The inlet of the ventilator was con ...
Regulation of neuronal survival and death by extracellular signals
Regulation of neuronal survival and death by extracellular signals

... has been the demonstration that certain neurotrophic factors can also promote neuronal death. In addition, several members of the tumour necrosis factor (TNF) superfamily of ligands activate cell death mechanisms in developing neurons and play a role in regulating neuron number during development. I ...
Comparison of Primate Prefrontal and Inferior Temporal
Comparison of Primate Prefrontal and Inferior Temporal

... one of the prototypes and the others and then computed their differences as vectors. Morphs were created by linear combinations of these vectors added to that prototype. For more information see http://www.ai.mit.edu/projects/cbcl/ morph. By morphing different amounts of the prototypes we could gene ...
Selectivity and Tolerance - Center for Neural Science
Selectivity and Tolerance - Center for Neural Science

... parameters. The parameters are all obtained by averaging local measurements across all spatial positions within the original image and are thus altogether capable of representing the number and type of local features in the original image, while lacking information about their specific locations. So ...
Selectivity and Tolerance - Penn Arts and Sciences
Selectivity and Tolerance - Penn Arts and Sciences

... parameters. The parameters are all obtained by averaging local measurements across all spatial positions within the original image and are thus altogether capable of representing the number and type of local features in the original image, while lacking information about their specific locations. So ...
Signaling by truncated Dab1 protein - Development
Signaling by truncated Dab1 protein - Development

... reelin signaling (Howell et al., 1999a; Rice et al., 1998). This decrease is partly independent of Dab1 tyrosine phosphorylation (Howell et al., 2000), suggesting that some other change induced by activated VLDLR and apoER2, for example, possible serine phosphorylation or relocalization of Dab1, tri ...
Human Economic Choice as Costly Information Processing
Human Economic Choice as Costly Information Processing

... ambiguous option the probabilities of the outcomes are not known by the subject. For example, the deterministic outcomes of a risky gamble can be $ 10 and $ 50, with no statement of the chances of those outcomes. This leaves open the possibility of a lottery ranging from a 0% chance at $ 10 to a 10 ...
Neural realisation of the SP theory
Neural realisation of the SP theory

... 2.4 Production of sentences and other patterns An attractive feature of the SP system is that, without any modification, it can support the production of language (or other patterns of knowledge) as well as its analysis. If SP61 is run again, with the sentence in New replaced by the encoded form of ...
Oscillatory phase coupling coordinates
Oscillatory phase coupling coordinates

... Fig. 1. Patterns of oscillatory phase coupling across multiple brain areas coordinate anatomically dispersed neuronal cell assemblies (schematic). (A–D) Hypothesis 1: Spike timing in single neurons depends on frequency-specific oscillatory phase coupling across multiple brain areas. (A) Spiking in o ...
Alterations in Synaptic Strength Preceding Axon Withdrawal
Alterations in Synaptic Strength Preceding Axon Withdrawal

... regions of the presynaptic membrane called active zones. The end-plate is synonymous with NMJ. An end-plate potential (EPP) is an example of an excitatory postsynaptic potential caused by the transient opening of AChRs. ...
Contextual Modulation of Substantia Nigra Pars Reticulata Neurons
Contextual Modulation of Substantia Nigra Pars Reticulata Neurons

... and Wurtz (1983a– d, 1985a,b, 1989) extended this concept to studies of the basal ganglia when they demonstrated that the activity of saccade-related neurons in the substantia nigra pars reticulata (SNr), which project to the colliculus, was also correlated with the behavioral context within which a ...
Structural Repair and Functional Recovery Following Cerebral
Structural Repair and Functional Recovery Following Cerebral

... of somatostatin and related substances to for many of the regrowing tracts is proact as chemotactic or growth-promoting vided by a connective tissue sheath (capiagents in Melampus CNS regeneration, but tocerebral membrane). It covers the CNS there are many other substances, such as and fans out like ...
Dopamine: generalization and bonuses
Dopamine: generalization and bonuses

... system in a non-trivial manner, including stimuli that are novel and salient, or that physically resemble other stimuli that do predict reward (Schultz, 1998). In both cases, an important aspect of the dopamine response is that it sometimes consists of a short-term increase above baseline followed b ...
The neuronal structure of the substantia nigra in the guinea pig
The neuronal structure of the substantia nigra in the guinea pig

... density of cell bodies observed after counterstaining in macaques [13]. Many nigral neurons in rat have dendritic varicosities, which are not found on the thick dendritic trunks, but they are located slightly further from the cell body [23], and in the primates Schwyn and Fox [34] observed varicosit ...
Analysis and Classification of EEG signals using Mixture of
Analysis and Classification of EEG signals using Mixture of

... Electroencephalography (EEG) signal is the recording of spontaneous electrical activity of the brain over a small period of time [1]. The term EEG refers that the brain activity emits the signal from head and being drawn. It is produced by bombardment of neurons within the brain. It is measured for ...
Action recognition in the premotor cortex
Action recognition in the premotor cortex

... Those neurons that discharged in response to the sight of a hand approaching and grasping an object, we named 'grasping' mirror neurons. Some grasping mirror neurons stopped firing almost immediately as the hand grabbed the object, others continued to discharge for a while after the end of the actio ...
Read Here
Read Here

... studies probing raphe obscurus neurons based on anatomical location have implicated these neurons in respiratory control (Peever et al., 2001; Dias et al., 2008; Nuding et al., 2009; Depuy et al., 2011). For example, injection of Cre-dependent virus targeting channelrhodopsin2-mCherry to caudal raph ...
Pre-synaptic Terminal Dynamics in the Hippocampus
Pre-synaptic Terminal Dynamics in the Hippocampus

... A broad body of work has associated the addition of synapses with learning and memory formation also in higher vertebrates verifying the theory introduced by Cajal that memory is stored as an anatomical change in the strength of synapses (Cajal, 1894). Adult animals housed in complex, toy filled cag ...
full program with abstracts
full program with abstracts

... occurring in these mice, we have performed high-coverage advanced quantitative sequential windowed dataindependent acquisition of total high-resolution mass spectra (SWATH-MS) mass spectrometry. Using this technique, we profiled proteomic changes in brain and spinal cord of transgenic rNLS TDP-43 mi ...
The functional role of GABA and glycine in monaural and binaural
The functional role of GABA and glycine in monaural and binaural

... frequency of lowest threshold and the tuning curve were determined by audiovisual criteria. The temporal response patterns at different frequency-level combinations of the stimulus before, during and after drug application were recorded on-line with a P D P - I 1 or a PC over 60 presentations of an ...
Chapter 2: Nerve Cells and Nerve Impulses
Chapter 2: Nerve Cells and Nerve Impulses

... 5. Prior to the work of Santiago Ramon y Cajal, what did many investigators believe? a. Nerves conducted impulses at the speed of light. b. Transmission across a synapse was just as fast as transmission along an axon. c. The tip of an axon physically merged with the next neuron. d. All neurons were ...
Self-organization and interareal networks™in™the™primate cortex
Self-organization and interareal networks™in™the™primate cortex

... that the valleys are attractor states and correspond to a distinct subclass of model gene networks defining cell types. These basins of attraction drain the slopes in their neighborhood, and the collection of valleys and hilltops constitutes an N-dimensional space, which is explored by the dynamics ...
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Biological neuron model

A biological neuron model (also known as spiking neuron model) is a mathematical description of the properties of nerve cells, or neurons, that is designed to accurately describe and predict biological processes. This is in contrast to the artificial neuron, which aims for computational effectiveness, although these goals sometimes overlap.
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