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Psychology312-2_001 - Northwestern University
Psychology312-2_001 - Northwestern University

... things that organisms do—including acting, thinking and feeling—can and should be regarded as behaviors.[1] The behaviorist school of thought maintains that behaviors as such can be described scientifically without recourse either to internal physiological events or to hypothetical constructs such a ...
Practice Exam 3 ANSWERS
Practice Exam 3 ANSWERS

... a. is propagated by the opening of voltage-gated sodium channels b. occurs whenever a pre-synaptic nerve fires a charge to a post synaptic nerve c. is carried out only whenever half of the neural threshold is reached d. moves bidirectionally away from the cell body 4. Saltatory conduction is made po ...
conductance versus current-based integrate-and - Neuro
conductance versus current-based integrate-and - Neuro

... (IF) neuron captures many of the broad features that biological neurons share and has become a standard component of models of large recurrent-networks. A cortical neuron in an active network receives a massive synaptic bombardment. This input is commonly approximated as a fluctuating current. Synap ...
After leaving the retina, the outputs of each eye are split
After leaving the retina, the outputs of each eye are split

... • This means that there is a "neural image" retaining the spatial layout of the pattern of light that falls on the retina • This map has several interesting characteristics ...
Check out figures to understand this tricky wiring pattern… After
Check out figures to understand this tricky wiring pattern… After

... – Each V1 does not simply receive input from the opposite eye; the outputs of each retina are split (left half/right half) and then run through the LGN to the appropriate V1 • Just as the image of the world is inverted when projected onto the retina, the retinotopic V1 map is upside down (and the ri ...
class_2015_readinglist
class_2015_readinglist

... gamma range whenever a preferred stimulus in their receptive field matched a feature of the target, as predicted by parallel models. Neurons also gave enhanced responses to candidate targets that were selected for saccades, or foveation, reflecting a serial component of visual search. Thus, serial a ...
medical knowledge modeling
medical knowledge modeling

... and reasoning modeling. If these approaches are so wide apart, it is mainly due to the fact that they each address different levels of cognition. One should therefore not be surprised if, although rather in opposition, they are nevertheless complementary. The mastery of cognitive modeling then consi ...
Self-Organizing Map Considering False Neighboring Neuron
Self-Organizing Map Considering False Neighboring Neuron

... are updated. Therefore, the FNN-SOM self-organizes with considering the real neighboring relation. In Section II, we explain the learning algorithm of the conventional SOM. In Section III, the learning algorithm of the proposed SOM, FNN-SOM, is explained in detail. The learning behaviors of FNN-SOM ...
Search and forward chaining
Search and forward chaining

... – We have neurons in our bodies that transmit signals based on inputs  Internal dynamics dependent on chemical gradients  Connections between neurons are important – Tolerates noisy input – Tolerates partial destruction ...
lecture9
lecture9

... – Believed that we learn visual directions by associating visual experiences with other forms of sensory feedback (e.g. proprioceptive). – Alternatively… Adaptation results from learning correlation betweeen vision and actively generated motor commands (Held, ...
Document
Document

... (LGN) cells receive input from Retinal ganglion cells from both eyes. Both LGNs represent both eyes Neurons in retina, LGN and visual cortex have receptive fields: – Neurons fire only in response to higher/lower illumination within receptive field – Neural response depends (indirectly) on illuminati ...
Ch03
Ch03

... • If threshold is low, person has high contrast sensitivity. ...
2. HNN - Academic Science,International Journal of Computer Science
2. HNN - Academic Science,International Journal of Computer Science

... yet the understanding how humans recognize patterns is not known. Human brain has been the basic motivation in the endeavor to building intelligent machine in the field of artificial intelligence [7]. Neuro computing adopted its models from the biological neuron systems [3]. This artificial neural c ...
Networks of Spiking Neurons: The Third Generation of
Networks of Spiking Neurons: The Third Generation of

... It is mathematically more convenient to assume that the potential Pv has value 0 in the absence of postsynaptic potentials, and that the threshold value O v is always > 0. In a " t y p i c a l " biological neuron the resting membrane potential is around - 7 0 mV, the firing threshold of a " r e s t ...
Circuits, Circuits
Circuits, Circuits

... On-Center -vs- Off-Center Retinal Ganglion Cells • The primary visual receptors (rods & cones) actually turn OFF when hit by photons (light) and are ON when they detect dark spots (Hubel, Eye, Brain and Vision, 1988, pg. 54) On-Center (Off-Surround) ...
PDF file
PDF file

... architecture that integrates three types of neurotransmitters, 5-HT, DA and Ach with Ach for increased attention efforts. Dealing with time in frame precision, that is at the rate that the simulation updates, is an unsolved problem. For example, in their Darwin V simulation [1], [22], behaviors are ...
Neural correlates of decision processes
Neural correlates of decision processes

... view that RT is occupied by formally distinct stages of processing [43]. Determining the relative contributions of successive stochastic processes to RT poses both technical and conceptual challenges. For example, questions remain as to whether the transformations within and the transmission between ...
Low-Power Circuits for Brain-Machine Interfaces
Low-Power Circuits for Brain-Machine Interfaces

... In some of our prior work on a bionic-ear (cochlear implant) processor, we experimentally demonstrated that analog preprocessing and delayed digitization enable order-of-magnitude power reductions over traditional A-D-then-DSP implementations [4]. Such implementations can also preserve programmabili ...
the application of artificial intelligence methods in heat - QRC
the application of artificial intelligence methods in heat - QRC

... content should be from 0.8-0.9 %C, also the carbon flow should be uniform (constant) up to a certain distance from the surface. Thus, maximal surface hardness is achieved, and a rapid hardness drop with the distance from the surface is minimized. At the required, i.e. effective carburising depth Eht ...
Information Optimization in Coupled Audio–Visual Cortical Maps Mehran Kardar A. Zee
Information Optimization in Coupled Audio–Visual Cortical Maps Mehran Kardar A. Zee

... connectivities in an audio-visual cortex, such as the owl’s optic tectum. We find that the shape and registry of the aural map is established by the correlations between the audio and visual signals. In response to an artificial shift of the visual field (as with the prismatic spectacles), the visua ...
Storyboard Concept - Stanford Artificial Intelligence Laboratory
Storyboard Concept - Stanford Artificial Intelligence Laboratory

... But the camera sees this: ...
Neuroembryology of Neural Tube Defects
Neuroembryology of Neural Tube Defects

... on day 26. Closure of the neuropores coincides with the establishment of a blood vascular circulation for the neural tube. Failure to close leads to escape of αfetoprotein from the circulation into amniotic fluid. ...
Self-Organizing Maps
Self-Organizing Maps

... The process of SOM includes: Initially, the SOM algorithm generates a map and randomizes the weights for all neurons on the map so that every neuron has a different set of starting weights from every other neuron. Each neuron has one weight for every attribute in the dataset. For example, the datase ...
An investigation on local wrinkle-based extractor of age estimation
An investigation on local wrinkle-based extractor of age estimation

... model, which is based on the domain knowledge of facial ageing processes, such as occurrence of wrinkles and the change of face shapes. In early work, the snake algorithm was exploited for wrinkle detection and this information was combined with some measures of facial geometry for an age range clas ...
complete  file
complete file

... as well as help build artificial systems. A review of the whole area of these various aspects of rule formation is given in [6]. Neural networks have been widely used for classification problems; classification could be viewed as a subsymbolic to symbolic mapping. Feedforward networks, like multi-la ...
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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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