[Illinois]: Posterior probability of a target given input for two senses (delta)
01 Jul 2013 | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of two modalities (i.e., visual and auditory)
[Illinois]: Posterior probability of a target given input for two senses (Bayes')
Computes the posterior probability of a target given sensory input of two modalities (i.e., visual and auditory)
[Illinois]: Posterior target probability given single-sensory input (delta rule)
02 Jul 2013 | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Trains a single sigmoidal unit using the delta rule to estimate posterior target probability given sensory input of one modality (i.e., visual)
[Illinois]: Posterior probability of a target given single-sensory input (Bayes')
28 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Computes the posterior probability of a target given sensory input of one modality (i.e., visual)
[Illinois]: Posterior probabilities of hypothetical fish classes
Computes the posterior probabilities of each of three hypothetical fish classes using Bayes' rule
[Illinois]: Fish classification using back-propagation
Trains a three-layered network of sigmoidal units using back-propagation to classify fish according to their lengths
[Illinois]: Sigmoidal unit training with the delta rule
26 Jun 2013 | Tools | Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson
Uses the delta rule to train a single sigmoidal unit with feedback to simulate the responses of neurons in the parabigeminal nucleus
[Illinois]: Predictor-corrector simulation of parabigeminal nucleus neural responses
24 Jun 2013 | Tools | Contributor(s): Lisa Sproat, NanoBio Node, Jessica S Johnson
Implements a predictor-corrector simulation of the responses of neurons in the parabigeminal nucleus
[Illinois]: Midbrain dopamine neuron responses to temporal-difference learning
21 Jun 2013 | Tools | Contributor(s): Lisa Sproat, Jessica S Johnson, NanoBio Node
Simulates the responses of midbrain dopamine neurons using temporal difference learning
Locust-flight central pattern generator
06 Jun 2013 | Tools | Contributor(s): Lisa L Sproat, NanoBio Node, Jessica S Johnson
Implements a linear version of Wilson's model of the locust-flight central pattern generator
[Illinois]: Velocity storage and leakage
04 Jun 2013 | Tools | Contributor(s): Lisa L Sproat, Jessica S Johnson, NanoBio Node
Implements the parallel-pathway and positive-feedback models of velocity storage, and the negative-feedback model of velocity leakage
Two-unit oculomotor integrator
Implements the two-unit model of the integrator of the oculomotor system
[Illinois]: Two leaky integrators in series
31 May 2013 | Tools | Contributor(s): Lisa L Sproat, John Feser, Jessica S Johnson, NanoBio Node
Implements a model having two units (leaky integrators) in series, each with recurrent, excitatory self-connections allowing the units to exert positive feedback on themselves