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Contraction Properties of VLSI Cooperative Competitive Neural
Contraction Properties of VLSI Cooperative Competitive Neural

... experiments using a dedicated PCI–AER board [19]. This board allows us to stimulate the synapses on the chip (e.g. with synthetic trains of spikes), monitor the activity of the I&F neurons, and map events from one neuron to a synapse belonging to a neuron on the same chip and/or on a different chip. ...
collective intelligence
collective intelligence

... The openness and inclusiveness to a lay community of contributors, makes the Missing Maps project an excellent case to discuss the specificity of collective intelligence. The project shows that single agents with minimal topical expertise can generate results through collaboration, the scale of whic ...
pdf file
pdf file

... others involves the subject’s preparation for the same type of action. It turned out that in the premotor area F5 about 20% of the neurons are both active when preparing and when observing the action. After the discovery of mirror neurons in monkeys it has been hypothesized that similar types of neu ...
Neurons & the Nervous System
Neurons & the Nervous System

... delay after flushing when the toilet can not be flushed again ...
Predicting Spiking Activities in DLS Neurons with Linear
Predicting Spiking Activities in DLS Neurons with Linear

Evolutionary Neurotheology - UTK-EECS
Evolutionary Neurotheology - UTK-EECS

... corresponding to the smallest units of subjectivity. (They are very small; there are perhaps 10 to 100 billion in a person’s complete conscious state.) Protophenomena are quantitatively simple, having only a degree of presence in consciousness, but cohere into subjectively complex qualia through the ...
Sensory system evolution at the origin of craniates
Sensory system evolution at the origin of craniates

... paired eyes, diencephalon and mesencephalon, along with hindbrain regions, could thus have been elaborated before the gain of the neural folds with their derivatives, including the telencephalic hemispheres, migratory neural crest and placodes. Several lines of circumstantial evidence support the pl ...
A Gaussian Approach to Neural Nets with Multiple Memory Domains
A Gaussian Approach to Neural Nets with Multiple Memory Domains

... strengths of the synaptic coupling coefficients. The neurons are characterized by the absolute refractory period, the firing threshold  and the synaptic delay  . It is assumed here that the refractory period is greater than the synaptic delay, but less than twice the synaptic delay. A parameter r ...
Traumatic Brain Injury and Neurodegenerative Disorders Review of
Traumatic Brain Injury and Neurodegenerative Disorders Review of

... Traumatic Brain Injury and Neurodegenerative Disorders • Huntington's disease is an inherited disease that causes the wasting away of certain types of brain  cells that control movement as well as thinking. Dementia is common and occurs in the later stages of the  disease. Personality changes are ty ...
Seminar High Performance Computers
Seminar High Performance Computers

... that each core is acting based on an incoming event in a sense of e.g. an arriving signal. Noteworthy in this context is that the biological and engineering counterpart are also event-driven systems. ...
The Role of analogy in cognitive science
The Role of analogy in cognitive science

... an interesting challenge for artificial intelligence[1]. The concept of analogy requires some ability to perceive likeness between dissimilar objects/abstractions in different domains and extrapolate a relationship for other situations. As such, analogies may cover a wide array of concepts, and may ...
1 Understanding Neurotransmission and the Disease of Addiction (2
1 Understanding Neurotransmission and the Disease of Addiction (2

... having a certain amount of drug present and does not respond the same way it did initially. For this reason, drug abusers and addicts take increasingly higher amounts of an abused drug. Tolerance may develop because the body may become more efficient at eliminating the chemical from the body, or be ...
Here - Statistical Analysis of Neuronal Data
Here - Statistical Analysis of Neuronal Data

... bias traditional measures using large batteries of simulated data. Traditional methods are biased by a number of features, including firing rate and dwell time in a cell s receptive field. To combat this, we have used a maximum likelihood estimation approach as a less biased and more sensitive way t ...
ALGORITHMICS - Universitatea de Vest din Timisoara
ALGORITHMICS - Universitatea de Vest din Timisoara

...  The complex behavior emerges from simple rules which interact and are applied in parallel  This bottom-up approach is opposite to the top down approach particular to classical artificial intelligence  The learning ability derives from the adaptability of some parameters associated with the proce ...
FET in Horizon 2020
FET in Horizon 2020

... http://www.graphene-flagship.eu/GF/call.php ...
chapter one
chapter one

uncorrected proof - Università degli Studi di Parma
uncorrected proof - Università degli Studi di Parma

... different tasks. (3) By doing so, it might be established to what extent the apparently different social cognitive abilities and strategies adopted by different species of primates may be underpinned by similar functional mechanisms, which in the course of evolution acquire increasing complexity (se ...
Article Link - Cortical Systems and Behavior Laboratory
Article Link - Cortical Systems and Behavior Laboratory

... 40 and 60 mW. The first neuron exhibiting photoactivation in each subject was not evident for several weeks following the injection of the viral construct. For subject J, the first photoactivated unit was recorded 48 days after the viral injection, whereas the first photoactivated neuron in subject ...
Bridging Rate Coding and Temporal Spike Coding
Bridging Rate Coding and Temporal Spike Coding

... animals are engaged in already learned tasks. Once unknown stimuli or new tasks are given, they have to adapt to the new circumstances. Until they complete the adaptation, the neurons may desynchronize to benefit from the population rate coding that encodes more signal information than the synchroni ...
Huber et al. (2008), Sparse optical microstimulation in barrel cortex
Huber et al. (2008), Sparse optical microstimulation in barrel cortex

... activity of groups of neurons and perceptual and cognitive functions1–6. However, the number and identities of neurons microstimulated, as well as the number of action potentials evoked, are difficult to ascertain7,8. To address these issues we introduced the light-gated algal channel channelrhodops ...
issues and problems in brain magnetic resonance imaging
issues and problems in brain magnetic resonance imaging

... The implementation of the semi-automatic segmentation algorithm on T2 axial volumes of the brain has been tested on six brain T2 datasets. All of which have been successfully segmented and could retrieve the contour of cerebellum, even it is unclear image [3]. 2.2. Automatic segmentation Automatic s ...
Evolution Within the Body: The Darwinian Lesson Extended
Evolution Within the Body: The Darwinian Lesson Extended

... selectionist lesson to processes occurring within organisms. The Immune System as Within-Organism Darwinian Selection Although it may seem odd to begin our discussion of learning with a look at the mammalian immune system, there are actually very good reasons for doing so. They will not become appar ...
CHAPTER 3 Neuroscience and Behavior
CHAPTER 3 Neuroscience and Behavior

... Before a neuron is triggered—that is, when it is in a resting state—it has a negative electrical charge of about 270 millivolts (a millivolt is one one-thousandth of a volt). This charge is caused by the presence of more negatively charged ions within the neuron than outside it. (An ion is an atom t ...
pjp6`2001.vp:CorelVentura 7.0 - Institute of Pharmacology
pjp6`2001.vp:CorelVentura 7.0 - Institute of Pharmacology

... have profound effects on the dopaminergic neurotransmission. For example, it has been observed that corticosterone, operating via GR alters the turnover rate and release of dopamine, evokes changes in the density of dopaminergic receptors of D1 subtype, with the subsequent alteration in their mRNA l ...
Ecological dominance, social competition, and coalitionary arms
Ecological dominance, social competition, and coalitionary arms

... traditional ecological demands, such as hunting or climatic variability, have not provided satisfying explanations. Recent models based on social problem solving linked with ecological conditions offer more convincing scenarios. But it has proven difficult to identify a set of selective pressures th ...
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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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