Software Listing of Author : "Massimiliano Versace"

It will automatically produce documentation in HTML format from a list of .m files within a folder.

  • Platform: Matlab, Scripts

This software has been realized by Chaitanya Sai at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). More info is available at http://techlab.bu.edu/resources/software_v...ed_artmap_code/. Memories in Adaptive Resonance Theory (ART) networks are based on matched patterns that focus attention on those portions of bottom-up inputs that match active top-down expectations. While this learning strategy has proved successful for both brain models and applications, computational examples show that attention to early critical features may later distort memory representations during online fast learning. For supervised learning, biased ARTMAP (bARTMAP) solves the problem of over-emphasis on early critical features by directing attention away from previously attended features after the system makes a predictive error....

  • Platform: Matlab, Scripts

This software has been realized at the CNS Technology Lab at Boston University - http://techlab.bu.edu. The main author of this software is Chaitanya Sai ( http://techlab.bu.edu/members/sai/ ). Complement Coding takes as input a vector of feature values, each with an associated lower and upper limit used for normalization. It normalizes each feature value and calculates its complement. Reference Carpenter, G.A. , Grossberg, S. , Rosen, D.B., Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks, 4, 759-771. (1991). Abstract Adaptive Resonance Theory (ART) and ARTMAP networks employ a preprocessing step called complement coding, which models the nervous system's ubiquitous computational design known as opponent processing (Hurvich & Jameson, 1957). Balancing an entity...

  • Platform: Matlab, Scripts

It will take a vector as input, with a lower and upper limit used for normalization. The script normalizes each feature value and calculates its complement. To run the script, unzip the archived files, open Matlab and type "compgui" in the Matlab prompt.

  • Platform: Matlab, Scripts

This software has been realized at the CNS Technology Lab at Boston University - http://techlab.bu.edu. The main author of this software is Chaitanya Sai ( http://techlab.bu.edu/members/sai/ ). CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that completes sparse and noisy image figures. Within an integrated vision/recognition system, CONFIGR posits an initial recognition stage which identifies figure pixels from spatially local input information. The resulting, and typically incomplete, figure is fed back to the ?early vision? stage for long-range completion via filling-in. The reconstructed image is then re-presented to the recognition system for global functions such as object recognition. In the CONFIGR algorithm, the smallest independent image unit is the visible pixel, whose size...

  • Platform: Matlab, Scripts

This software has been realized by Gennady Livitz at the CNS Technology Lab at Boston University (My Webpage). The main author of this software is Gennady Livitz. The package contains a MATLAB implementation of diffusive filing-in model. The demo simulation is based on Craik-O'Brien-Cornsweet Effect(COCE). The package provides GUI interface to control luminance of COCE stimulus components which have impact on the model's output. The software can be run from matlab command line by typing Filling_in at the prompt. Necessary documentation as well as source code is provided at http://techlab.bu.edu/resources/synapse_vi...ng_in/#download. REFERENCES: Grossberg, S. , Todorovic, D., Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena, Perception and Psychophysics, 43, 241-277 (1988)....

  • Platform: Matlab, Scripts

This software has been realized by Bret Fortenberry at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). A model to show the properties of EPSPs and IPSPs in the postsynaptic cell. The model allows a user to adjust the number of EPSP and IPSP inputs, the rise and fall times and the weighted effect on the postsynaptic cell. The model displays the current of the EPSP and the IPSP and the spiking output of the postsynaptic cell. An excitatory postsynaptic potentials (EPSP) is a temporary depolarization of postsynaptic membrane caused by the flow of positively charged ions into the postsynaptic cell as a result of opening of ligand-sensitive channels. An EPSP is received when an excitatory presynaptic cell, connected to the dendrite, fires an action potential. The EPSP signal is propagated down the dendrite and is...

  • Platform: Matlab, Scripts

This software has been realized at the CNS Technology Lab team at Boston University - http://techlab.bu.edu. The main author of this software is Chaitanya Sai ( http://techlab.bu.edu/members/sai/ ). 'dataset_title' descriptionVerbose: 'A more verbose description of the dataset' IMPORTANT NOTE: for space limitations, the pertinent datasets and papers have not been included. Please download the entire package at: http://techlab.bu.edu/resources/software_v...rtmap/#download MORE DETAILS A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors, which may represent fuzzy or crisp sets of features. The architecture, called fuzzy ARTMAP, achieves a synthesis of fuzzy logic and adaptive...

  • Platform: Matlab, Scripts
  • GUI4GUI
  • License: Freeware
  • Price: 0.00

This software has been realized by Kadin Tzeng at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). Frequently, a computer program requires input parameters to define a specific application prior to running it. For codes that require few input parameters, the usual method to define these parameters is to store them in a file or through commandline arguments. Upon reading these parameters, the computer code then proceed to perform computations or other types of operations. For codes that require more input parameters -- especially under less straightforward conditions -- a Graphical User Interface (GUI) may be preferable to query the code runner for input parameters at runtime. However, writing a GUI can often be time-consuming and the code developer may not be readily familiar with the knowledge necessary to develop...

  • Platform: Matlab, Scripts

This software has been realized at the Technology Lab, Department of Cognitive and Neural Systems, Boston University - http://techlab.bu.edu. The main author of the software is Praveen Pilly ( http://techlab.bu.edu/members/advait/ ). How does the brain make perceptual decisions? Speed and accuracy of saccadic decisions regarding motion direction depend on the inherent ambiguity in the motion stimulus and correlate with the temporal dynamics of firing rates in parietal and frontal cortical neurons of macaque monkeys. The MOtion DEcision (MODE) model incorporates interactions within and between Retina/lateral geniculate nucleus, primary visual cortex, middle temporal area, medial superior temporal area, and lateral intraparietal area, gated by basal ganglia, to provide a functional and mechanistic understanding of motion-based...

  • Platform: Matlab, Scripts

This software has been realized by Praveen Pilly at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). Attached is the source article and zipped file that contains a MATLAB-based graphical user interface with additional access to the non-directional transient cell equation, description, and source code. Reference Grossberg, S. , Rudd, M.E., Cortical dynamics of visual motion perception: Short-range and long-range apparent motion, Psychological Review , 99 , 78-121 (1992). Abstract The microcircuit for non-directional transient cells simulates how magnocellular cells in Retina and lateral geniculate nucleus are activated in response to temporal changes in the visual stimulus. This acts as the first stage of various motion processing models (Chey et al., 1997; Grossberg et al., 2001; Berzhanskaya et al., 2007;...

  • Platform: Matlab, Scripts

This software has been realized by Ben Chandler at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). The main author of the software is Ben Chandler ( http://www.neurdon.com/about-2/editors/ben-chandler/ ) This is a one-dimensional stand-alone implementation of the Grossberg and TodorovidoOCi model of a cortical simple cell. Reference Grossberg, S. , Todorovic, D., Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena, Perception and Psychophysics, 43, 241-277 (1988). Computer simulations of a neural network model of I-D and 2-D brightness phenomena are presented. The simulations indicate how configural image properties trigger interactions among spatially organized contrastive, boundary segmentation, and filling-in processes to generate emergent percepts. They...

  • Platform: Matlab, Scripts

This code, realized in collaboration with Robert Thijs Kozma, implements a simple and powerful spiking model proposed by Eugene Izhikevich in 2003 (http://www.izhikevich.org/publications/spikes.pdf). This mathematical model is the most recent of a long tradition of models used to study individual neurons that display spiking/bursting behavior. Examples of these models include among others Hodgkin-Huxley, and FitzHugh-Nagumo. The Izhikevic model is particularly interesting because it is a compact model that, via a suitable change of parameters, can simulate a large array of neurons' behavior. Reference Gorchetchnikov, A. , Hasselmo, M. , Versace, M., A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay, Neural Networks 18 (2005) 458?466 (2005).

  • Platform: Matlab, Scripts
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