A model of cerebellar computations for dynamical state estimation

Paulin, M. G.; Hoffman, L. F.; Assad, C.

Home/Archive/NASA NTRS

NASA NTRS · 20040088112

A model of cerebellar computations for dynamical state estimation

Paulin, M. G.·Hoffman, L. F.·Assad, C.

View original source ↗Export metadata ↓

Abstract

The cerebellum is a neural structure that is essential for agility in vertebrate movements. Its contribution to motor control appears to be due to a fundamental role in dynamical state estimation, which also underlies its role in various non-motor tasks. Single spikes in vestibular sensory neurons carry information about head state. We show how computations for optimal dynamical state estimation may be accomplished when signals are encoded in spikes. This provides a novel way to design dynamical state estimators, and a novel way to interpret the structure and function of the cerebellum.

Explore related subjects

NASA Discipline Neuroscience Non-NASA Center Cerebellum/anatomy & histology/physiology Neurons, Afferent/physiology Computer Simulation Models, Neurological Vestibule/innervation/physiology Acceleration Neural Networks (Computer)Semicircular Canals/innervation/physiology Rana catesbeiana Action Potentials Animals Head Movements/physiology Purkinje Cells/physiology Support, U.S. Gov't, Non-P.H.S Vestibular Nuclei/physiopathology Rotation

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Paulin, M. G., Hoffman, L. F., Assad, C.. 2001-11-01. A model of cerebellar computations for dynamical state estimation. https://ntrs.nasa.gov/citations/20040088112

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

NASA NTRS2005

Vestibular Experiments in Space

No abstract available

NASA Discipline Neuroscience↗

NASA NTRS2005

An information maximization model of eye movements

We propose a sequential information maximization model as a general strategy for programming eye movements. The model reconstructs high-resolution visual information from a sequence of fixations, taking into account the fall-off in resolution from the fovea to the periphery. From this framework we get a simple rule for predicting fixation sequences: after each fixation, fixate next at the location that minimizes uncertainty (maximizes information) about the stimulus. By comparing our model performance to human eye movement data and to predictions from a saliency and random model, we demonstrate that our model is best at predicting fixation locations. Modeling additional biological constraints will improve the prediction of fixation sequences. Our results suggest that information maximization is a useful principle for programming eye movements.

NASA Discipline Neuroscience↗

NASA NTRS2003

Retinal ganglion cell projections to the hamster suprachiasmatic nucleus, intergeniculate leaflet, and visual midbrain: bifurcation and melanopsin immunoreactivity

The circadian clock in the suprachiasmatic nucleus (SCN) receives direct retinal input via the retinohypothalamic tract (RHT), and the retinal ganglion cells contributing to this projection may be specialized with respect to direct regulation of the circadian clock. However, some ganglion cells forming the RHT bifurcate, sending axon collaterals to the intergeniculate leaflet (IGL) through which light has secondary access to the circadian clock. The present studies provide a more extensive examination of ganglion cell bifurcation and evaluate whether ganglion cells projecting to several subcortical visual nuclei contain melanopsin, a putative ganglion cell photopigment. The results showed that retinal ganglion cells projecting to the SCN send collaterals to the IGL, olivary pretectal nucleus, and superior colliculus, among other places. Melanopsin-immunoreactive (IR) ganglion cells are present in the hamster retina, and some of these cells project to the SCN, IGL, olivary pretectal nucleus, or superior colliculus. Triple-label analysis showed that melanopsin-IR cells bifurcate and project bilaterally to each SCN, but not to the other visual nuclei evaluated. The melanopsin-IR cells have photoreceptive characteristics optimal for circadian rhythm regulation. However, the presence of moderately widespread bifurcation among ganglion cells projecting to the SCN, and projection by melanopsin-IR cells to locations distinct from the SCN and without known rhythm function, suggest that this ganglion cell type is generalized, rather than specialized, with respect to the conveyance of photic information to the brain. Copyright 2003 Wiley-Liss, Inc.

NASA Discipline Neuroscience↗