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J M Bower

Publications and source records attributed to J M Bower.

12 recordsLinked to original sources

Rallpacks: a set of benchmarks for neuronal simulators.

The field of computational neurobiology has advanced to the point where there are several general-purpose simulators to choose from. These cater to various niches in the world of realistic neuronal models, which range from the molecular level to descriptions of entire sensory modalities. In addition, there are numerous custom-designed simulations, adaptations of electrical circuit simulators, and other specific implementations of neurobiological models. As a first step towards evaluating this disparate set of simulators and simulations, and towards establishing standards for comparisons of speed and accuracy, we describe a set of benchmarks. These have been given the name 'Rallpacks' in honor of Wilfrid Rall, who pioneered the study of neuronal systems through analytical and numerical techniques.

Algorithms

Experimentalists and modelers: can we all just get along?

How can the interaction between theoretical neuroscientists and their experimental counterparts be improved? This article discusses a number of suggestions relating to the presentation of data in experimental studies. In particular, published data should account for the diversity of response properties encountered, rather than concentrating on the 'representative' response, as well as emphasizing the stochastic nature of neurons by routinely including raw, unprocessed data from individual trials, which show the degree of variability prior to averaging.

Interprofessional Relations

Cortical oscillations and temporal interactions in a computer simulation of piriform cortex.

1. A large-scale computer model of the piriform cortex was constructed on the basis of the known anatomic and physiological organization of this region. 2. The oscillatory field potential and electroencephalographic (EEG) activity generated by the model was compared with actual physiological results. The model was able to produce patterns of activity similar to those recorded physiologically in response to both weak and strong electrical shocks to the afferent input. The model also generated activity patterns similar to EEGs recorded in behaving animals. 3. In addition to replicating known physiological responses, it has been possible to use the simulations to explore the interactions of network components that might underlie these responses. This analysis suggests that the physiological properties of the cortex are dependent on the complex interaction of both network and cellular properties. In particular, we have found that the relationship between conduction velocities in intrinsic cortical fiber systems and the time constants of excitatory and inhibitory effects are critical for replicating physiological results. 4. Analysis of the model also suggests a correspondence between the 40-Hz oscillatory patterns of activity induced by low levels of odor-like stimulation and oscillatory patterns seen in lightly anesthetized cortex in response to weak electrical shocks to the afferent fiber system. 5. The specific relationships we have found between the different components of the model also support several speculations on their functional significance. The simulations suggest that during each 40-Hz cycle of EEG activity there is a convergence in rostral cortex of afferent information from the olfactory bulb and recurrent association fiber information from caudal cortex. This convergence could underlie an iterative process central to the recognition of complex olfactory stimuli.

Animals

Cholinergic suppression specific to intrinsic not afferent fiber synapses in rat piriform (olfactory) cortex.

1. Differences in the cholinergic suppression of afferent and intrinsic fiber synaptic transmission were studied in the rat piriform cortex. Extracellular and intracellular recording techniques were applied in an in vitro transverse slice preparation. Afferent and intrinsic fiber systems were differentially stimulated with electrodes placed in layer Ia or layer Ib, respectively. Synaptic responses were monitored in the presence of cholinergic agonists and antagonists. 2. Afferent and intrinsic fiber synaptic potentials measured extracellularly showed large differences in sensitivity to micromolar concentrations of the cholinergic agonists carbachol or (+/-)-muscarine, or to acetylcholine combined with neostigmine. Intrinsic fiber synaptic responses in layer Ib were strongly reduced in the presence of cholinergic agonists, whereas afferent fiber synaptic responses in layer Ia were largely unaffected. At a concentration of 100 microM, all three agonists caused a greater than 60% decrease in the height of the intrinsic fiber synaptic potential but less than 15% reduction in the afferent fiber synaptic potential. 3. Intracellular recordings confirmed that the cholinergic agonist carbachol selectively suppresses intrinsic fiber synaptic potentials but not afferent fiber synaptic potentials recorded from the same pyramidal cell. 4. Dose-response curves to carbachol were obtained for both fiber systems using extracellular recording of evoked field potentials. Carbachol suppressed intrinsic fiber synaptic potentials with a coefficient of dissociation (KD) estimated at 2.9 microM and an inhibitory concentration for 50% response estimated at 6.6 microM. 5. Carbachol produced a proportionately greater suppression of the first pulse than the second pulse of a pulse pair. This increase in the level of facilitation accompanying suppression suggests a presynaptic mechanism.(ABSTRACT TRUNCATED AT 250 WORDS)

Afferent Pathways

Cholinergic modulation of cortical associative memory function.

1. The effect of cholinergic modulation on associative memory function was studied in a computational model based on the physiology and anatomic structure of piriform cortex. Both the cholinergic suppression of intrinsic fiber synaptic transmission and the cholinergic changes in postsynaptic excitability described in the companion paper were examined. 2. Distributed input patterns representing odors were stored in the model with the use of a synaptic modification rule dependent on pre- and postsynaptic activity (i.e., Hebbian). Associative recall of these patterns was tested by presenting the model with degraded versions of the learned patterns and testing whether these degraded patterns evoked the same network response as the full learned input pattern. Storage was evaluated with the use of a performance measure designed to reflect how well degraded input patterns could be recognized as a particular learned input pattern. 3. When memory function was evaluated with a selective cholinergic suppression of intrinsic fiber synaptic transmission during learning, associative memory performance was greatly enhanced. Cholinergic suppression during learning prevents previously stored patterns from interfering with the storage of new patterns. 4. When memory function was evaluated with a cholinergic mediated enhancement in cell excitability during learning, the speed of learning increased, but so did the decay in performance due to interference during learning. 5. When suppression of intrinsic fiber synaptic transmission was coupled with an increase in cell excitability, the best memory performance was obtained. 6. These results provide a possible theoretical framework for linking the neuropharmacological effects of acetylcholine to behavioral evidence for a role of acetylcholine in memory function. This could help describe how memory deficits might arise from cholinergic dysfunction in diseases such as Alzheimer's dementia.

Association

Selective suppression of afferent but not intrinsic fiber synaptic transmission by 2-amino-4-phosphonobutyric acid (AP4) in piriform cortex.

Differences in the glutaminergic modulation of afferent and intrinsic fiber synaptic transmission in piriform (olfactory) cortex were investigated using extracellular and intracellular recording techniques in a transverse slice preparation. 2-Amino-4-phosphonobutyric acid (AP4) strongly suppressed synaptic potentials evoked by afferent fiber stimulation in layer 1a, while having a much weaker effect on synaptic potentials evoked by intrinsic fiber stimulation in layer 1b. Both the racemic mixture and L-(+)-enantiomer of AP4 showed this differential effect. Suppression of afferent fiber synaptic potentials was accompanied by an increase in paired pulse facilitation, suggesting a pre-synaptic mechanism, while intrinsic fiber synaptic potentials showed little change in facilitation. Previous work has shown that cholinergic modulation in piriform cortex appears selective for intrinsic fiber synapses. The present data describes a pre-synaptic glutaminergic modulation complementary to the cholinergic modulation.

Afferent Pathways

Variability in tactile projection patterns to cerebellar folia crus IIA of the Norway rat.

Tactile responses in the granule cell layers of the cerebellar hemispheres of rats are topographically arranged as a series of patches each representing a different region of the body surface. Previous observations had suggested that patches representing specific body parts recur in similar folial positions in different individuals; however, these relationships were not quantified. In this study we make inter-animal comparisons of the detailed distribution of receptive fields in the granule cell layer of the crown of crus IIa by using physiological mapping techniques. The results suggest that maps from different individuals do, in fact, share several topological features. These include the regions of the body surface represented, the general proportions of these representations, the relative positions of patches representing the same body parts, and the organization of receptive fields within patches located in similar positions. The principal variability seen in these comparisons was in the detailed neighborhood relations between different patches. As a result of the analysis of the consistent and variable features of these maps, we propose and discuss a new role for these cerebellar regions in coordinating the acquisition of tactile sensory information.

Afferent Pathways

Brain maps and parallel computers.

It is well known that neural responses in many brain regions are organized in characteristic spatial patterns referred to as brain maps. It is likely that these patterns in some way reflect aspects of the neural computations being performed, but to date there are no general guiding principles for relating the structure of a brain map to the properties of the associated computation. In the field of parallel computing, maps similar to brain maps arise when computations are distributed across the multiple processors of a parallel computer. In this case, the relationship between maps and computations is well understood and general principles for optimally mapping computations onto parallel computers have been developed. In this paper we discuss how these principles may help illuminate the relationship between maps and computations in the nervous system.

Brain

Afferent and association fiber differences in short-term potentiation in piriform (olfactory) cortex of the rat.

1. The effects of low-frequency stimulus trains on synaptically evoked responses in piriform cortex pyramidal cells were studied by the use of intracellular recording techniques in an in vitro slice preparation. Afferent and association fiber systems were differentially stimulated with electrodes placed in layer 1a or layer 1b, respectively. To quantify synapse modifiability, the heights of postsynaptic potentials (PSPs) elicited by paired-pulse stimulation (100-ms interval) were averaged over a 50-s period before and after a set of 10 stimulus trains (10 pulses each, 20 Hz, 5-s interpulse interval). 2. Afferent and association fibers showed consistent differences in their response to stimulation during the period lasting from approximately 10 to 200 s after presentation of trains. During this time period, the responses to stimulation of association fibers in layer 1b displayed a short-term potentiation, which over the 10 posttrain trials, produced an average increase in PSP height of 23.2 +/- 3.7% (mean +/- SE). On the other hand, responses to layer 1a stimulation showed an average depression of 10.9 +/- 3.6%. Layer 1b potentiation decayed with time constant roughly estimated at 79 s. Layer 1b potentiation appeared even at very low stimulus voltages and after local association fiber input had been cut, suggesting that it was largely a monosynaptic effect. 3. In the period immediately after train presentations, responses evoked by both layers showed a short-term augmentation with a time constant around 3 s. In layer 1a, this augmentation was superimposed on a depression with slow recovery. At longer times after train presentation (greater than 5 min), 2 cells out of 46 showed changes (increases) in synaptic efficacy in response to layer 1b stimulation. 4. In the current experiments both layers 1a and 1b showed statistically significant facilitation before the presentation of stimulus trains. However, layer 1b facilitation decreased from 22.7 +/- 3.5% to a statistically insignificant 3.9 +/- 3.3% after the presentation of trains, whereas layer 1a facilitation remained at a statistically significant level of 23.1 +/- 5.7%. 5. These experiments show that pyramidal cell responses to stimulation of the afferent and association fiber systems are affected differently by the previous presentation of trains of stimuli. This suggests that mechanisms of synaptic modification may differ between the afferent and intrinsic association synaptic projections onto single pyramidal cells in olfactory cortex.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals

Olfactory cortex: model circuit for study of associative memory?

The piriform (olfactory) cortex is a phylogenetically old type of cerebral cortex with parallels in its organization to the architecture of certain 'neural network' models for distributed pattern recognition and association. These features, in combination with unique structural characteristics that facilitate experimental study, make the piriform cortex a potentially good model for analysis of associative (content-addressable) memory processes.

Animals