Biomedical subjects

Rasmus S Petersen

Publications and source records attributed to Rasmus S Petersen.

8 recordsLinked to original sources

PubMed2003

Encoding of whisker vibration by rat barrel cortex neurons: implications for texture discrimination.

Rats, using their whiskers, have excellent capabilities in texture discrimination. What is the representation of texture in rat somatosensory cortex? We hypothesize that as rats "whisk" over a surface, the spatial frequency of a grooved or pebbled texture is converted to a temporal frequency of whisker vibration. Surface features such as groove depth or grain size modulate the amplitude of this vibration. Validation of the hypothesis depends on showing that vibration parameters have distinct neuronal representations in cortex. To test this, we delivered sinusoidal vibrations to the whisker shaft and analyzed cortical neuronal activity. Seven amplitudes and seven frequencies were combined to construct 49 stimuli while recording activity through a 10 x 10 microelectrode array inserted into the middle layers of barrel cortex. We find that cortical neurons do not explicitly encode vibration frequency (f) or amplitude (A) by any coding measure (average spike counts over different time windows, spike timing patterns in the peristimulus time histograms or in autocorrelograms). Instead, neurons explicitly encode the product of frequency and amplitude, which is proportional to the mean speed of the vibration. The quantity Af is an invariant because neuronal response encodes this feature independently of the values of the individual terms A and f. This was true across a wide time scale of firing rate measurements, from 5 to 500 msec. We conclude that vibration kinetics are rapidly and reliably encoded in the firing rate of cortical ensembles. Therefore, the cortical representation of vibration speed could underlie texture discrimination.

Action Potentials↗

PubMed2003

Effect of developmental sensory and motor deprivation on the functional organization of adult rat somatosensory cortex.

Most sensory systems are active, in the sense that the animal performs specific motor actions in order to collect information of interest-signals are not merely passively received. We, therefore, expect cortical development to depend not only correct sensory experience, but also on correct motor experience. In this study, we used the rat whisker system as a model to compare the importance of these factors. In one group of animals, we trimmed all whiskers starting from post-natal day 8 (P8). In a second group, we left the whiskers intact, but prevented "whisking" by sectioning the facial (VIIth cranial) nerve on P8. The first group had severely disrupted sensory experience but normal motor patterns ("whisker-cut" rats); the second group had normal sensory pathways within which temporal activity patterns were disrupted by motor impairment ("nerve-cut" rats). When they reached 3 months of age, we recorded multi-unit responses from the infragranular layers of primary somatosensory cortex in response to deflection of either single whiskers or pairs of whiskers in order to compare these two groups to a third group of rats that had normal sensory and motor experience. Cortical topographic organization was unaltered in whisker- and nerve-cut rats. Whisker-cut rats showed a smaller than normal difference between the response magnitudes for the principal and surrounding whiskers, as well as stronger than normal interactions between co-active whisker inputs. Responses in nerve-cut rats were nearly indistinguishable from those in normal animals. Thus, unexpectedly, neither pure sensory nor sensorimotor deprivation caused gross functional disruption of SI according to our measures. It appears that abnormal sensory experience leads to alterations in the fine-tuning of cortical properties, but cortex is unexpectedly resistant to the effects of abnormal sensory and sensorimotor experience.

Action Potentials↗

PubMed2003

Decoding neuronal population activity in rat somatosensory cortex: role of columnar organization.

The present study asks in what way the activity of a neuronal population responding to a sensory stimulus could be most efficiently decoded, or 'read off', by the target neurons. A simple solution to this problem has been proposed - pooling the activity of responding neurons. However, pooling can be inefficient if sensory information is encoded by the 'label' of each neuron firing a spike. We have tested the efficiency of pooling by quantifying the extent to which information about a sensory stimulus is diminished when the identity of the individual neurons is lost by pooling. Analyzing the response of small groups of neurons in rat barrel cortex to single-whisker deflection, we found that pooling neurons within the same column is efficient for representing stimulus position; it causes a loss of only 1% of the information about whether the principal whisker was stimulated, and a loss of 5-12% of the finer information about which of nine possible whiskers (the principal and its neighbors) was stimulated. Cross-column pooling led to larger information losses, in the range of 25-55%. Thus, to decode stimulus position from the discharge of barrel cortex populations, 'downstream' neurons could pool the activity arising from neurons of the same column, while maintaining the activity arising from neurons of separate columns at least partially segregated. Since such parcellation is present in some of the projections from barrel cortex, these findings suggest that columnar organization of barrel cortex serves to facilitate decoding of the location of the stimulated whisker.

Action Potentials↗

PubMed2003

Coding of sensory signals by neuronal populations: the role of correlated activity.

How is sensory information encoded by the patterns of action potentials emitted by ensembles of neurons? Computational methods have recently been applied to this fundamental question and have found, both in the somatosensory and visual system, that the basic unit of information transmission is the timing of individual spikes. In systems studied to date, the neuronal population codes appear to be simple ones that do not rely on complex patterns of correlated spikes.

Action Potentials↗

PubMed2002

Population coding in somatosensory cortex.

Computational analyses have begun to elucidate which components of somatosensory cortical population activity may encode basic stimulus features. Recent results from rat barrel cortex suggest that the essence of this code is not synergistic spike patterns, but rather the precise timing of single neuron's first post-stimulus spikes. This may form the basis for a fast, robust population code.

Action Potentials↗

PubMedDate not supplied

Investigations into the organization of information in sensory cortex.

One might take the exploration of sensory cortex in the first decades of the last century as the opening chapter of modern neuroscience. The combined approaches of (i) measuring effects of restricted ablation on functional capacities, both in the clinic and the laboratory, together with (ii) anatomical investigations of cortical lamination, arealization, and connectivity, and (iii) the early physiological probing of sensory representations, led to a fundamental body of knowledge that remains relevant to this day. In our time, there can be little doubt that its organization as a mosaic of columnar modules is the pervasive functional property of mammalian sensory cortex [Brain 120 (1997) 701]. If one accepts the assertion that columns and maps must improve the functioning of the brain (why else would they be the very hallmark of neocortex?), then the inevitable question is: exactly what advantages do they permit? In this review of our recent presentation at the workshop on Homeostasis, plasticity and learning at the Institut Henri Poincaré, we will outline a systematic approach to investigating the role of modular, map-like cortical organization in the processing of sensory information. We survey current evidence concerning the functional significance of cortical maps and modules, arguing that sensory cortex is involved not solely in the online processing of afferent data, but also in the storage and retrieval of information. We also show that the topographic framework of primary sensory cortex renders the encoding of sensory information efficient, fast and reliable.

Animals↗

PubMedDate not supplied

A critical assessment of different measures of the information carried by correlated neuronal firing.

Information theoretic measures have been proposed as a quantitative framework to clarify the role of correlated neuronal activity in the brain. In this paper we review some recent methods that allow precise assessments of the role of correlation in stimulus coding and decoding by the nervous system. We present new results that make explicit links between types of encoding and decoding mechanisms based on correlations. We illustrate the concepts by showing that the spike trains of pairs of neurons in rat somatosensory cortex can be decoded almost perfectly without including knowledge of correlation in the read-out model, although in this neural system correlations between spike times contribute appreciably to stimulus encoding.

Action Potentials↗

PubMedDate not supplied

The role of individual spikes and spike patterns in population coding of stimulus location in rat somatosensory cortex.

This report addresses the nature of population coding in sensory cortex by applying information theoretic analysis to data recorded simultaneously from neuron pairs located in primary somatosensory cortex of anaesthetised rats. We studied how cortical spike trains code for the location of a whisker stimulus on the rat's snout. We found that substantially more information was conveyed by 10 ms precision spike timing compared with that conveyed by the number of spikes counted over a 40 ms response interval. Most of this information was accounted for by the timing of individual spikes. In particular, it was the first post-stimulus spikes that were crucial. Spike patterns within individual cells played a smaller role; spike patterns across cells were negligible. This pattern of results was robust both to the exact nature of the stimulus set and to the precision at which spikes were binned.

Action Potentials↗