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Cumulative behavioural toxicity was measured in groups of male and female rat pups (n=6/sex) at different stages of postnatal development. Dose-response curves (DRCs) for toxicity produced by domoic acid (DOM) were generated using animals on postnatal days (PND) 0, 5, 14, and 22, using a behavioural rating scale. In a subsequent experiment, DRCs for(More)
The effect of systemic administration of domoic acid, a potent structural analogue of kainic acid, on the mouse hippocampus has been studied using light and electron microscopic techniques. Intraperitoneal injections of either domoic acid (4 mg/kg) or kainic acid (32 mg/kg) produced a series of behavioural changes including sedation, rigidity, stereotypy(More)
Our objective was to characterize the neurotoxic actions of systemically administered domoic acid on different excitatory amino acid receptors, and to compare the receptor selectivity of domoate with the related compound kainic acid. Groups of mice were injected with various ligands selective for N-methyl-D-aspartate (NMDA) and(More)
We have examined the behavioural neurotoxicity of domoic acid (DOM) and kainic acid (KA) in mice following administration of ligands active at the N-methyl-d-aspartate (NMDA) receptor. Groups of female CD-1 mice (n=4) were injected i.p. with saline or one of three doses of either DOM or KA. Doses of DOM and KA were selected from the steep portion of the(More)
A biologically inspired cognitive architecture must draw its insights from what is known from animal (including human) cognition. Such architectures should faithfully model the high-­‐level modules and processes of cognitive neuroscience. Also, biologically inspired cognitive architectures are expected to contribute to the BICA " challenge of creating a(More)
Significant debate on fundamental issues remains in the subfields of cognitive science, including and artificial intelligence each contribute alternative and sometimes conflicting perspectives on the supervening problem of artificial general intelligence (AGI). Current efforts toward a broad-based, systems-level model of minds cannot await theoretical(More)
Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM, the Integer SDM that uses modular arithmetic integer vectors rather than binary vectors. This extension preserves many of the desirable properties of the original SDM: auto-associativity, content(More)
The complexity of medical problem solving presents a formidable challenge to current theories of cognition. Building on earlier work, we claim that the systemslevel cognitive model LIDA (for “Learning Intelligent Distribution Agent”) offers a number of specific advantages for modeling diagnostic thinking. The LIDA Model employs a consciousness(More)