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Article  - Dynamic Connectome Lab
Article - Dynamic Connectome Lab

... For each neuron type, the LFP range and magnitude in each layer for the population of Bush cells are close to those for the population of Mainen cells. The LFP range is smallest in the soma layer (\250 lm) with the range increasing in the layers above and below the soma, while the LFP magnitude is l ...
Anatomy Review - Interactive Physiology
Anatomy Review - Interactive Physiology

... a. synaptic potential, Synaptic potential b. action potential, action potential 38. (Page 8.) Place the following pictures in the order they belong in. a. ...
Preview Sample 2
Preview Sample 2

... • Synaptogenesis is the process of synapse formation. It continues throughout life. • Pruning is the process through which the developing brain eliminates unnecessary or redundant synapses. It allows the brain to preserve the most efficient pathways and eliminate those that are redundant. • The proc ...
Harding, G. W. and A. L. Towe. 1995. Neuron Response to Direct
Harding, G. W. and A. L. Towe. 1995. Neuron Response to Direct

- Princeton University
- Princeton University

... Our strategy to quantify in-focal-plane brain motion was to correct frames back to a reference image selected from the resting state using an offline line-by-line algorithm (Figure 3) based on an HMM (Rabiner, 1989). As illustrated in Figure 3A, relative motion of the brain with respect to the micro ...
Ultrahigh field magnetic resonance imaging and
Ultrahigh field magnetic resonance imaging and

... Improvements on this are expected by the use of multiple coil arrays. 2.3. Functional imaging In the armamentarium of techniques used for investigating brain function, functional magnetic resonance imaging (fMRI) has come to play a dominant role in both human and animal model studies. The most commo ...
Spiking neural networks for vision tasks
Spiking neural networks for vision tasks

The Biological Bases of Time-to
The Biological Bases of Time-to

... because these neurons respond only to the direct collision course of approaching objects (Wang & Frost, 1992, Sun & Frost, 1998), and not to simulation of the movement of pigeons toward the same stationary objects (Sun & Frost, submitted). Also the work on locust looming detectors would fit this cat ...
Document
Document

... capabilities can improve the performance of an intelligent system over time. The most popular approaches to machine learning are artificial neural networks and genetic algorithms. This lecture is dedicated to neural networks. ...
The Autonomic Nervous System
The Autonomic Nervous System

Understanding mirror neurons - LIRA-Lab
Understanding mirror neurons - LIRA-Lab

... Recently, the visual responses of F5 “canonical” neurons have been re-examined using a formal behavioral paradigm, which allowed testing the response related to object observation both during the waiting phase between object presentation and movement onset and during movement execution (Murata et al ...
The neuronal structure of the globus pallidus in the rabbit — Nissl
The neuronal structure of the globus pallidus in the rabbit — Nissl

... are always preceded by the smooth dendritic surface. Having compared both kinds of complex terminal endings, we came to the conclusion that the more branched the complex is the fewer processes and spines it has. The distribution of the complex endings is irregular on the dendrites of the large neuro ...
Messages from the Brain Connectivity Regarding Neural Correlates
Messages from the Brain Connectivity Regarding Neural Correlates

... zational principles of the cerebral cortex [11-16] and are applied in almost all cognitive domains [17]. They look like two sides of the same coin, since we cannot understand the brain function seeing only one aspect between these two features. Functional segregation ...
xiao-ying-lu-southeast-university
xiao-ying-lu-southeast-university

An overview of reservoir computing: theory, applications and
An overview of reservoir computing: theory, applications and

... recurrent topology, and only train a single linear readout layer. State-ofthe-art performance can easily be achieved with this setup, called Reservoir Computing. The idea can even be broadened by stating that any high dimensional, driven dynamic system, operated in the correct dynamic regime can be ...
2. Organization of the Exam and Assessment Criteria
2. Organization of the Exam and Assessment Criteria

... Form of the exam: entrance examinations in specialty «19.00.02 – Psychophysiology» held in the oral exam form with tickets. The exam consists of the following parts: tickets are consisted of any two questions from the following curriculum, and the third question: «Area of your research, theoretical ...
2. Organization of the Exam and Assessment Criteria
2. Organization of the Exam and Assessment Criteria

... Form of the exam: examinations in specialty «19.00.02 – Psychophysiology» held in the oral exam form with tickets. The exam consists of the following parts: tickets are consisted of any two questions from the following curriculum, and the third question: «Area of your research, theoretical basis for ...
Binding of aluminium ions by Staphylococcus
Binding of aluminium ions by Staphylococcus

... Aluminum
intoxica(on
due
to
aluminum‐containing
antacids
or
dialysate
can
cause
 encephalopathy
in
pa(ents
undergoing
hemodialysis,
but
the
biochemical
mechanism
has
not
 been
defined.
The
enzyme
dihydropteridine
reductase
(DHPR)
is
essen(al
for
the
maintenance
of
 normal
brain
concentra(ons
of
tetra ...
disrupted brain thyroid hormone homeostasis
disrupted brain thyroid hormone homeostasis

... Accumulating evidence suggests that autism spectrum disorders (ASD) result from interplay between environmental and genetic components. Many of the environmental toxicants such as phthalates, alkylphenolic compounds, polychlorinated biphenyls (PCBs), dibenzodioxins, organochlorine pesticides, bisphe ...
Neurons and Neurotransmission with Nerve slides
Neurons and Neurotransmission with Nerve slides

... •Direction of impulse – neural impulse can only go one direction; the toilet only flushes one way, the impulse can’t come the other direction (you hope!) •Threshold – critical point after which neural impulse is fired; you can push the handle a little bit, but it won’t flush until you push the hand ...
The Beautiful Brain - Weisman Art Museum
The Beautiful Brain - Weisman Art Museum

... and their ability to express fundamental concepts about the brain. He was awarded the Nobel Prize in 1906 for his work on brain structure. Cajal did not set out to be a scientist. In fact, he wanted to be an artist, but this was not considered an appropriate ambition in rural Spain where he grew up. ...
Electrical Synapses between Dopaminergic Neurons of the
Electrical Synapses between Dopaminergic Neurons of the

... held previously at ⫺60 mV) between the potential at sag peak (see Fig. 1, E) and the potential at steady state (see Fig. 1, F). Spike duration was measured between the onset of the spike and the equipotential point during the repolarization phase. Fast afterhyperpolarization amplitude was taken betw ...
Do Sensory Neurons Secrete an Anti-Inhibitory
Do Sensory Neurons Secrete an Anti-Inhibitory

Solving the Problem of Negative Synaptic Weights in Cortical Models
Solving the Problem of Negative Synaptic Weights in Cortical Models

The role of neuronal signaling in controlling cerebral blood flow
The role of neuronal signaling in controlling cerebral blood flow

... Thus, even small reductions in CBF negatively aVect neuronal function, and large CBF reductions, such as are seen in cerebral ischemia, can produce massive damage to the brain. Moreover, cerebrovascular dysregulation is associated with Alzheimer’s disease and other neurodegenerative conditions (see ...
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Artificial general intelligence

Artificial general intelligence (AGI) is the intelligence of a (hypothetical) machine that could successfully perform any intellectual task that a human being can. It is a primary goal of artificial intelligence research and an important topic for science fiction writers and futurists. Artificial general intelligence is also referred to as ""strong AI"", ""full AI"" or as the ability to perform ""general intelligent action"".Some references emphasize a distinction between strong AI and ""applied AI"" (also called ""narrow AI"" or ""weak AI""): the use of software to study or accomplish specific problem solving or reasoning tasks. Weak AI, in contrast to strong AI, does not attempt to perform the full range of human cognitive abilities.
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