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Here - Institute of Cognitive Neuroscience
Here - Institute of Cognitive Neuroscience

... cells” fire selectively for an animal’s location in space (e.g., O’Keefe, 1976), but show little dependence on the animal’s orientation during random, open field foraging. We refer to this representation as allocentric, representing location relative to the environment, even though the location repr ...
Representing Spatial Relationships in Posterior
Representing Spatial Relationships in Posterior

Probing electrical signals in the retina via graphene
Probing electrical signals in the retina via graphene

... bottom electrode region well. This mainly results from the naturally curved shape of the retina, which is not ideally compatible with the planar nature of graphene-integrated microfluidic platforms. If we can fabricate graphene transistors on flexible substrates (such as PDMS membranes), this issue ...
PDF
PDF

Bayesian Reasoning - Bayesian Intelligence
Bayesian Reasoning - Bayesian Intelligence

Applying Transcranial Alternating Current Stimulation to the Study of Spike Timing Dependent Plasticity in Neural Networks
Applying Transcranial Alternating Current Stimulation to the Study of Spike Timing Dependent Plasticity in Neural Networks

... physiologically accurate than the similar, but more complex, Hodgkin Huxley model, the FN model’s simplicity to implement and accurate mimicking of general neural spiking behavior make it an ideal first choice for the purposes of generating a neural micro-network. The specific FN model used here was ...
Disentanglement of local field potential sources by independent
Disentanglement of local field potential sources by independent

... (Einevoll et al. 2007) have been proven to be useful for separating important features of mixed deep electrical sources. In theory, if we assume that brain electrical sources are spatially stationary (i.e., immobile), then their best extraction from LFPs should be obtained within the ICA framework. ...
Mechanism of Irregular Firing of Suprachiasmatic Nucleus Neurons
Mechanism of Irregular Firing of Suprachiasmatic Nucleus Neurons

... frequency observed in most neurons, and the appearance of bursting-like activity in some SCN neurons after bicuculline application. Bicuculline reversibly produced firing in silent neurons, or those with rare action potentials (n ⫽ 5; Fig. 5B, extracellular recording; Fig. 5C, intracellular recordin ...
Norm-based deontic logic for access control, some
Norm-based deontic logic for access control, some

... Intuitively, a priority ordering over the norms can be helpful in resolving conflicts, but a formal resolution mechanism has been difficult to provide. In particular, reasoning about prioritized norms is overshadowed by problems such as the order puzzle that are not satisfactorily resolved by many e ...
An Experimental Comparison of Numerical and Qualitative
An Experimental Comparison of Numerical and Qualitative

The neural encoding of self-generated and externally applied
The neural encoding of self-generated and externally applied

... irregular   (reviewed   in   Goldberg   2000,   Cullen   2011).   In   addition,   their   target   neurons   in   the   vestibular   nuclei   can   be   divided   into   three   primary   groups   on   the   basis   of   their   sensitivities ...
User-centric query refinement and processing using granularity
User-centric query refinement and processing using granularity

... together as granules in different levels or under different views to meet various user needs. From the perspective of granularity, we provide various strategies for unifying user-centric search and reasoning under time constraints to tackle the above issues. For the first issue stated earlier, the r ...
Schema Theory
Schema Theory

... whichever schema is going to take longer, Transport or Grasp (Preshape + Enclose), is given the full time it needs, while the other schema will be slowed down to apply its optimality criterion over the longer time base. This yields a satisfactory match between data and simulation. The implication (a ...
Rapid Taste Responses in the Gustatory Cortex during Licking
Rapid Taste Responses in the Gustatory Cortex during Licking

... trial number, and delivery number. The generalized linear model says the following: ...
all BAMI book sections in pdf
all BAMI book sections in pdf

... of HTM. If in the future we find that rhythms are essential for intelligence, and not just biological brains, then we would modify HTM theory to include them. There are many biological details that similarly are not part of HTM theory. Every feature included in HTM is there because we have an inform ...
Rapid Taste Responses in the Gustatory Cortex
Rapid Taste Responses in the Gustatory Cortex

... trial number, and delivery number. The generalized linear model says the following: ...
NEURAL NETWORKS
NEURAL NETWORKS

... interconnection of neurons, is itself nonlinear. Moreover, the nonlinearity is of a special kind in the sense that it is distributed throughout the network. Nonlinearity is a highly important property, particularly if the underlying physical mechanism responsible for the generation of an input signa ...
Rich-club organization in effective connectivity among cortical neurons
Rich-club organization in effective connectivity among cortical neurons

... were killed after the recording session; and brain tissue was sectioned, immunostained for NeuN, and imaged to verify the silicon prong placement. Signals from all recording sites were simultaneously sampled at 25 kHz. Spike sorting was performed off-line using a semi-automated Matlab script. The da ...
Neuronal representation of visual motion and orientation in the fly
Neuronal representation of visual motion and orientation in the fly

... a good candidate neuropil to extract these visual features from local input and to supply this information to more specialized downstream brain regions. The large lobula plate neurons, which integrate local motion inputs and thus respond in a directionselective way to motion in a large part of the v ...
the phase-space dynamics of systems of spiking neurons
the phase-space dynamics of systems of spiking neurons

... This thesis investigates the dynamics of systems of neurons in the brain. It considers two questions: (1) Are there coherent spatiotemporal structures in the dynamics of neuronal systems that can denote discrete computational states, and (2) If such structures exist, what restrictions do the dynamic ...
Binary neurons and networks
Binary neurons and networks

... Hebb’s postulate When an axon of cell A is near enough to excite cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A's efficiency, as one of the cells firing B, is increased. (1949) Donald Hebb ...
Extended PDF
Extended PDF

... significantly influence audiovisual weighting in lower visual or auditory areas. Only higher parietal cortices (IPS0–IPS4) were governed by the classical reliability-driven reweighting with more weight being given to the auditory signal when the visual signal was unreliable. Whereas IPS0–4 mainly re ...
University  of  Michigan Jerusalem,  Israel durfee/
University of Michigan Jerusalem, Israel durfee/

Information Processing in the Rostral Solitary Nucleus: Modulation
Information Processing in the Rostral Solitary Nucleus: Modulation

A Parallel Approach to Syntax for Generation 1 Introduction
A Parallel Approach to Syntax for Generation 1 Introduction

... of tidying up for the sake of inflection and word order. (This of course also means that a generator does not need to have many linguistic options, so the problem of dependencies does not arise either.) While such simple mappings are fine for current applications, they will not be adequate for input ...
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Neural modeling fields

Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT), Maximum likelihood artificial neural networks (MLANS).This framework has been developed by Leonid Perlovsky at the AFRL. NMF is interpreted as a mathematical description of mind’s mechanisms, including concepts, emotions, instincts, imagination, thinking, and understanding. NMF is a multi-level, hetero-hierarchical system. At each level in NMF there are concept-models encapsulating the knowledge; they generate so-called top-down signals, interacting with input, bottom-up signals. These interactions are governed by dynamic equations, which drive concept-model learning, adaptation, and formation of new concept-models for better correspondence to the input, bottom-up signals.
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