Layers, folds, and semi-neuronal information processing

Functional imaging and neuronal information processing

Since the functional magnetic resonance imaging (fMRI) signal is likely to re.ect a spatial average of the activity of neurons with partly dissimilar response properties, its interpretation in terms of neuronal information processing may be di/cult. We explored this problem by means of a simple computational model based on known tuning properties of individual neurons and on the assumption that...

Collection Processing with Constraints, Monads, and Folds

We propose an intermediate form based on monad-algebra comprehensions (to represent queries), folds (to represent computation), and setoids over polynomial datatypes (to represent data), suitable for use in collection processing. Such an intermediate form captures, in a uniform way, large fragments of many recent largescale collection processing languages such as MapReduce, PIG, DryadLINQ, and ...

Encoding and processing of sensory information in neuronal spike trains

Recently, a statistical signal-processing technique has allowed the information carried by single spike trains of sensory neurons on time-varying stimuli to be characterized quantitatively in a variety of preparations. In weakly electric fish, its application to first-order sensory neurons encoding electric field amplitude (P-receptor afferents) showed that they convey accurate information on t...

Vocal Folds Stroboscopic Image Processing for Otolaryngology

Statistical properties of information processing in neuronal networks.

Information processing and coding were analysed in dissociated hippocampal cultures, grown on multielectrode arrays. Multisite stimulation was used to activate different neurons and pathways of the network. The neural activity was binned into firing rates and the variability of the firing of individual neurons and of the whole population was analysed. In individual neurons, the timing of the fi...