Biomedical subjects

David R Euston

Publications and source records attributed to David R Euston.

3 recordsLinked to original sources

PubMed2006

Apparent encoding of sequential context in rat medial prefrontal cortex is accounted for by behavioral variability.

Simple sequences can be represented via asymmetrically linked neural assemblies, provided that the elements of the sequence are unique. When elements repeat, however (e.g., A-B-C-B-A), the same element belongs to two separate "sequential contexts," and a more complex encoding mechanism is required. To enable correct sequence performance, some neural structure must provide a disambiguating signal that differentiates the two sequential contexts (i.e., B as an element of "A-B" as opposed to "C-B"). The disambiguating signal may derive from a form of working memory, or, in some cases, a simple timing mechanism may suffice. To investigate the possible role of medial prefrontal cortex in complex sequence encoding, rats were trained on a spatial sequence containing two adjacent repeated segments (e.g., A-B-C-D-B-C-E). The double-repeat procedure minimized behavioral differences in the second leg (C) of the repeat subsequence that arise in the first leg (B) because of differences in the entry point (e.g., A-B vs D-B). Far more cells were context sensitive along the first leg than along the second (36 vs 9%), and most of the differences were accounted for by systematic variations in the rat's trajectory, which were much larger along the first leg. There is thus little evidence for sequential context-discriminative activity in the medial prefrontal cortex that cannot plausibly be accounted for by context-dependent behavior. The finding that the rodent medial prefrontal cortex is highly sensitive to sensory-behavioral variables raises doubts about previous experiments that purport to show working memory-related activity in this region.

Action Potentials↗

PubMed2005

Sequential-context-dependent hippocampal activity is not necessary to learn sequences with repeated elements.

Learning sequences of events (e.g., a-b-c) is conceptually a simple problem that can be solved using asymmetrically linked cell assemblies [e.g., "phase sequences" (Hebb, 1949)], provided that the elements of the sequence are unique. When elements repeat within the sequence, however (e.g., a-b-c-d-b-e), the same element belongs to two separate "contexts," and a more complex sequence encoding mechanism is required to differentiate between the two contexts. Some neural structure must form sequential-context-dependent, or "differential," representations of the two contexts (i.e., b as an element of "a-b-c" as opposed to "d-b-e") to allow the correct choice to be made after the repeated element. To investigate the possible role of hippocampus in complex sequence encoding, rats were trained to remember repeated-location sequences under three conditions: (1) reward was given at each location; (2) during training, moveable barriers were placed at the entry and exit of the repeated segment to direct the rat and were removed once the sequence was learned; and (3) reward was withheld at the entry and exit of the repeated segment. In the first condition, hippocampal ensemble activity did not differentiate the sequential context of the repeated segment, indicating that complex sequences with repeated segments can be learned without differential encoding within the hippocampus. Differential hippocampal encoding was observed, however, under the latter two conditions, suggesting that long-term memory for discriminative cues present only during training, working memory of the most recently visited reinforcement sites, or anticipation of the subsequent reinforcement site can separate hippocampal activity patterns at the same location.

Acoustic Stimulation↗

PubMed2002

From spectrum to space: the contribution of level difference cues to spatial receptive fields in the barn owl inferior colliculus.

Space-specific neurons in the owl's inferior colliculus have spatial receptive fields (RFs) computed from interaural time (ITD) and level (ILD) differences. Because of the shape of the owl's head, these cues vary with frequency in a manner specific for each location. We sought to determine the contribution of ILD to spatial selectivity. We measured the normal spatial receptive fields of space-specific neurons using virtual sound sources (i.e., noises filtered to simulate external sound sources, presented using headphones). The virtual-source filters were then altered so that ITD was fixed while frequency-specific ILDs varied according to location in the usual manner. The resulting "ILD-alone" RF typically revealed a horizontal band of excitation that included the normal RF. Above and below, the neurons were inhibited. Interestingly, the maxima of ILD-alone RFs were generally outside the normal RF, suggesting that space-specific neurons are not optimally tuned to the ILD spectrum occurring at the normal RF location. Congruously, frequency-specific ILD tuning, assessed with tones, better matched the ILDs at the peak of the ILD-alone RF than those at the peak of the normal RF. The firing evoked from the normal RF may thus reflect the balance of excitatory and inhibitory inputs needed to appropriately restrict the receptive field. Frequency-specific ILD tuning curves were combined with measured head-filtering characteristics to predict responses to the frequency-specific ILDs at each location. The predicted ILD-alone RFs, which are based on a simple sum of frequency-specific inputs, accounted for 56% of the variance in our measured ILD-alone RFs.

Acoustic Stimulation↗