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Institutionen för medicinsk teknik - IMT Master's Program Biomedical Engineering
Institutionen för medicinsk teknik - IMT Master's Program Biomedical Engineering

... fMRI data, namely the lack of time resolution (despite having a very good spatial response). This method also allows for mapping the brain during sleep stages. Thus the scored EEG data can be used to epoch fMRI resting state data. Resting state fMRI data, obtained when the brain is not engaged in a ...
Sonic Hedgehog Expression in Corticofugal Projection Neurons
Sonic Hedgehog Expression in Corticofugal Projection Neurons

... Va in adult mice (Figure S4C), whereas a close homolog of Boc, Cdon, is not expressed in these cells (A.O., data not shown). We further examined the cell type and temporal specificity of Boc expression by performing immunofluorescent staining in P4 and P14 Boc heterozygous mutant mice. We found LacZ ...
Processing of complex stimuli and natural scenes in the visual cortex
Processing of complex stimuli and natural scenes in the visual cortex

... chosen randomly and independently of all other pixels in the same or any other stimulus frame. ...
The neural basis for combinatorial coding in a cortical population response
The neural basis for combinatorial coding in a cortical population response

... in which each cell responds independently to its sensory inputs. Mathematically, this means that the probability of responses from the population can be decomposed as a product of probabilities for each individual cell, as in Equation 1 below, where these single-cell properties have been estimated d ...
Learning Efficient Markov Networks - Washington
Learning Efficient Markov Networks - Washington

... tributions that can be compactly expressed even if the cliques are large. In this paper we propose a learning algorithm based on this observation. Inference algorithms that exploit context-specific independence and determinism [7, 26, 11] have a common structure: they search for partial assignments ...
A cellular mechanism for cortical associations: an organizing
A cellular mechanism for cortical associations: an organizing

... has led to the suggestion that the cortex operates via an interaction between feed-forward and feedback information [30–32]. In this scenario, feedback provides context or predictive information for modulating neural activity in a given area [33–35], and also provides a mechanism for the cortex to a ...
1 Neural Affective Decision Theory: Choices, Brains, and Emotions
1 Neural Affective Decision Theory: Choices, Brains, and Emotions

... Figure 1 shows the connectivity structure between the different brain regions we have modeled. A comprehensive examination of afferent and efferent transmission among these regions would feature many more connections than we have included. The interactions shown represent particular paths of coordin ...
Nonlinear Population Codes - Department of Nonlinear Dynamics
Nonlinear Population Codes - Department of Nonlinear Dynamics

... Theoretical and experimental studies of distributed neuronal representations of sensory and behavioral variables usually assume that the tuning of the mean Žring rates is the main source of information. However, recent theoretical studies have investigated the effect of cross-correlations in the tri ...
Modulation of Synaptic Transmission to Second
Modulation of Synaptic Transmission to Second

... The caudal nucleus tractus solitarius (cNTS), where peripheral chemoreceptor afferents and other visceral afferents make their first central synapses (Mifflin, 1992), has intense anatomical connections with central noradrenergic neural structures (Loewy, 1990). The cNTS also contains noradrenergic n ...
Early Neural Patterning •Neural induction
Early Neural Patterning •Neural induction

... -Neural identity (caudal and rostral neural plate) is defined then refined -Neuraxis is then subdivided into smaller and smaller subunits or segments called neuromeres ▪Rhombomeres -Segmentation/ neuromeric structure is most obvious in the hindbrain and disappears as development proceeds -8 rhombome ...
Module 4 SG - HallquistCPHS.com
Module 4 SG - HallquistCPHS.com

... somewhat like pushing a neuron's accelerator ... more like pushing its brake; How do we distinguish a gentle touch from a big hug?; "protoplasmic kisses"; "runner's high"; They trigger unpleasant, lingering aftereffects; Agonists excite ... Antagonists inhibit; some chemicals can slither through thi ...
Hybrid intelligent systems in petroleum reservoir characterization
Hybrid intelligent systems in petroleum reservoir characterization

... however, argued that all these equations can be reduced to linear terms. It was further argued that natural phenomena such as porosity, water saturation, and permeability cannot be adequately estimated by linear relations. With relevant log measurements representing the dynamics of the subsurface, C ...
VIEW PDF - Glaucoma Today
VIEW PDF - Glaucoma Today

... cells, and they project into cytochrome oxidase-rich blobs in the visual cortex that are involved in processing blue/yellow chromatic information.2,3,16 Although not readily identifiable in Nissl-stained sections (Figure 1A), it is known that the koniocellular neurons in the lateral geniculate nucle ...
Significance of Neural Crest in Tooth Development
Significance of Neural Crest in Tooth Development

... encounter a relatively cell-free environment rich in extracellular matrix molecules. In this environment, they undergo extensive migrations along several well-defined pathways. These migrations are determined by intrinsic properties of the neural crest cells and features of the external environment ...
Unsupervised Many-to-Many Object Matching for Relational Data
Unsupervised Many-to-Many Object Matching for Relational Data

... by applying it to multi-lingual document-word networks without alignments. Most existing techniques in cross-domain recommendation and multi-lingual corpus analysis require alignment information between nodes across domains; for example, user/item identifiers are shared [13], [14], documents are ali ...
8 pages - Science for Monks
8 pages - Science for Monks

... cortex and access to my vocabulary for words to describe what I am seeing. These recurrent connections are the main basis of a conscious experience. The recurrent connections, or feedback connections, are very important in gaining access to different neural networks for the conscious experience. Let ...
Methods of Artificial Intelligence in Blind People Education
Methods of Artificial Intelligence in Blind People Education

... kinds of programs, in their basic forms, cannot be classified as employing artificial intelligence methods; they are rather simple tools like record players or music analogs of typewriters. Above and beyond implementation of simple computer programs for music processing more sophisticated methods ha ...
The Cat is Out of the Bag: Cortical Simulations with 109 Neurons
The Cat is Out of the Bag: Cortical Simulations with 109 Neurons

... Simulations at mammalian scale pose a formidable challenge even to modern-day supercomputers, consuming a vast number of parallel processor cycles, stressing the communication capacity, and filling all available memory and refreshing it at least every second of simulation time, thus requiring extrem ...
Decoding a Temporal Population Code
Decoding a Temporal Population Code

... continuous processing with no stimulus-triggered resets. We find a large range of classification performance, showing that the no-reset strategy is significantly outperformed by the different types of stimulus-triggered initializations. Building on these results, we discuss possible implementations ...
The cat is out of the bag: cortical simulations with 109</sup
The cat is out of the bag: cortical simulations with 109

... Simulations at mammalian scale pose a formidable challenge even to modern-day supercomputers, consuming a vast number of parallel processor cycles, stressing the communication capacity, and filling all available memory and refreshing it at least every second of simulation time, thus requiring extrem ...
UShape Representation in the Inferior Temporal Cortex of MonkeysU
UShape Representation in the Inferior Temporal Cortex of MonkeysU

... their responses to different views were approximated by fitting the data to a Gaussian function centered on the view eliciting the greatest response. If a cell responded to two subsets of views, as was the case for several cells, the linear sum of two Gaussian functions, one centered on each 'most e ...
Appendix
Appendix

... eax sin bx = 2 eax sin bx − 2 eax cos bx a + b2 a + b2 ...
The Number of Cortical Neurons Used to See
The Number of Cortical Neurons Used to See

... the stimulus is travelling in (Hubel et. al. 1962). Complex cells are the nonlinear combinations of two receptive field subunits, and thus take two samples from the image (Spitzer and Hochstein 1985). Despite a great deal of study of V1, there is no good account for how people use those neurons to s ...
Heterotopic Transcallosal Projections Are Present throughout the
Heterotopic Transcallosal Projections Are Present throughout the

... located in layers II/III and to a lesser extent layer V of the cortex. Their axons form the corpus callosum thereby providing an inter-hemispheric connection in the brain. While transcallosal projection neurons have been described in some detail before, it is so far unclear whether they are uniforml ...
Continuous attractor network models of grid cell firing based on
Continuous attractor network models of grid cell firing based on

... 2011; Mathis et al. 2012). The spatially periodic features of grid firing fields have led to the view that they are the output of computation by a path integrator that translates self-motion signals into estimates of location (McNaughton et al. 2006). In this review, we will consider evidence that n ...
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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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