Search PubMedSearch

PubMed · 7213949

An artificial cognitive map system.

Abstract

A blueprint for a geometric information processor is described. The system essentially combines a digital scan converter with a digital flight simulator. The latter's 'local' (Poincaréan) rather than standing (Helmholtzian) display may have advantages in 3-dimensional diagnostic imaging. At the same time, the system provides a technologically realizable abstract model in terms of which to express (and perhaps eventually explain) the experimental results of O'Keefe and Nadel on the functioning of the hippocampus in the mammalian brain.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

O E Rössler. 1981. An artificial cognitive map system.. https://doi.org/10.1016/0303-2647(81)90061-7

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

KEEP EXPLORING

Related citations

Prefrontal function in schizophrenia: confounds and controversies.

A wealth of clinical data indirectly implicate dysfunction of frontal cortex in schizophrenia, including negative symptoms, the pattern of neuropsychological deficits, and abnormal eye movements. Neuroimaging studies have provided direct evidence of frontal, particularly prefrontal, malfunction, but the results have been inconsistent and controversial. The burning question is whether prefrontal hypofunction is a pathophysiological characteristic of schizophrenia per se or an artifact of the imaging protocol. In studies of patients at rest, 'hypofrontality' has been an inconsistent finding, probably because resting is physiologically and psychologically variable. Cognitive activation paradigms, especially during working memory tasks, have been reliable in showing prefrontal hypofunction in patients, but these results have been challenged as artifacts of poor performance. Performance differences have been addressed by studying patients and controls matched either for poor performance or for normal performance. The former approach, which has the potential of elucidating the specificity of physiological mechanisms associated with poor performance, has shown that prefrontal activity in patients with schizophrenia differs quantitatively and qualitatively from that of normals and of other patient populations who perform at a comparable level. The latter approach, which tends not to find prefrontal differences between patients and controls, may be selecting out important aspects of the disease by focusing on unaffected neural functions. While there are pitfalls to each approach and no single study can address all the potential phenomenological confounds, overall, the functional neuroimaging database in patients with schizophrenia suggests that prefrontal cognitive deficits are because of prefrontal pathophysiology and not the inverse.

Cognition

A computational approach to prefrontal cortex, cognitive control and schizophrenia: recent developments and current challenges.

In this chapter we consider the mechanisms involved in cognitive control-from both a computational and a neurobiological perspective- and how these might be impaired in schizophrenia. By 'control', we mean the ability of the cognitive system to flexibly adapt its behaviour to the demands of particular tasks, favouring the processing of task-relevant information over other sources of competing information, and mediating task-relevant behaviour over habitual, or otherwise prepotent responses. There is a large body of evidence to suggest that the prefrontal cortex (PFC) plays a critical role in cognitive control. In previous work, we have used a computational framework to understand and develop explicit models of this function of PFC, and its impairment in schizophrenia. This work has lead to the hypothesis that PFC houses a mechanism for representing and maintaining context information. We have demonstrated that this mechanism can account for the behavioural inhibition and active memory functions commonly ascribed to PFC, and for human performance in simple attention, language and memory tasks that draw upon these functions for cognitive control. Furthermore, we have used our models to simulate detailed patterns of cognitive deficit observed in schizophrenia, an illness associated with marked disturbances in cognitive control, and well established deficits of PFC. Here, we review results of recent empirical studies that test predictions made by our models regarding schizophrenic performance in tasks designed specifically to probe the processing of context. These results showed selective schizophrenic deficits in tasks conditions that placed the greatest demands on memory and inhibition, both of which we have argued rely on the processing of context. Furthermore, we observed predicted patterns of deterioration in first episode vs multi-episode patients. We also discuss recent developments in our computational work, that have led to refinements of the models that allow us to simulate more detailed aspects of task performance, such as reaction time data and manipulations of task parameters such as interstimulus delay. These refined models make several provocative new predictions, including conditions in which schizophrenics and control subjects are expected to show similar reaction time performance, and we provide preliminary data in support of these predictions. These successes notwithstanding, our theory of PFC function and its impairment in schizophrenia is still in an early stage of development. We conclude by presenting some of the challenges to the theory in its current form, and new directions that we have begun to take to meet these challenges. In particular, we focus on refinements concerning the mechanisms underlying active maintenance of representations within PFC, and the characteristics of these representations that allow them to support the flexibility of cognitive control exhibited by normal human behaviour. Taken in toto, we believe that this work illustrates the value of a computational approach for understanding the mechanisms responsible for cognitive control, at both the neural and psychological levels, and the specific manner in which they break down in schizophrenia.

Cognition

Utilizing latency for object recognition in real and artificial neural networks.

A consistent analysis of a visual scene requires the recognition of different objects. In vertebrate brains this could be achieved by synchronization of the activity of disjunct nerve cell assemblies. During such a process cross-talk between spatially adjacent image parts occurs, preventing efficient synchronization. Temporal differences, naturally introduced by stimulus latencies in every sensory system, were utilized in this study to counteract this effect and strongly improve network performance. To this end in our model the image is 'spread out' in time as a function of contrast-dependent visual latencies, and synchronization of cell assemblies occurs without mutual disturbance. The network model requires a direct link between visual latencies and the onset of synchronous oscillations in cortical cells. This was confirmed experimentally.

Cognition