Abstract We explore a dual-network architecture with self-refreshing memory (Ans and Rousset 1997) which overcomes catastrophic forgetting in sequential learning tasks. Its principle is that new knowledge learned along an internally generated activity reflecting the network history. What mainly distinguishes this model from others using pseudorehearsal feedforward multilayer networks reverberating process used for generating pseudoitems. This process, tends to go up attractors random...

While humans forget gradually, highly distributed connectionist networks catastrophically: newly learned information often completely erases previously information. This is not just implausible cognitively, but disastrous practically. However, it easy in cognitive modelling to keep away from neural networks, if only because of their ability generalize. A realistic and effective system that solves the problem catastrophic interference sequential learning ‘static’ (i.e. non-temporally ordered)...

Abstract The role of contexts in face identification constitutes a weak point existing cognitive models recognition. A connectionist system (Face-net) based on layered network has been specified and implemented to investigate the processes underlying identification. architecture Face net takes contextual information explicitly into account construction identity representations, is provided with reinjection mechanism which gives it dynamic properties. model proposes that three indicators are...

Abstract Mediotemporal lobe structures are involved in both spatial processing and long‐term memory. Patient M.R. suffers from amnesia, due to bilateral hippocampal lesion temporoparietal atrophy following carbon monoxide poisoning. We compared his performance immediate memory tasks with the of ten healthy matched participants. Using an reproduction path, we observed a dissociation between three allocentric five egocentric‐updating tasks. His was always impaired on requiring use...

Abstract A case study is presented of a patient, EA, who demonstrated all the defining features deep dysphasia. His repetition disorder was associated with surface dyslexia and dysgraphia. EA also showed severely restricted phonological STM. performance in both picture confrontation naming writing-to-dictation paralleled his repetition, whereas reading aloud oral lexical decision were not influenced by imageability word input. Further testing indicated that did have difficulty either...

Patients with developmental amnesia usually suffer from both episodic and spatial memory deficits. DM, a amnesic, was impaired in her ability to process self-motion (i.e., idiothetic) information while external stable landmarks allothetic) preserved when no processing required. On naturalistic incidental task, DM severely predictably on free cued recall tasks. Interestingly, cued, she more at recalling context than factual or temporal information. Theoretical implications of that...

Generative autoencoders are designed to model a target distribution with the aim of generating samples and it has also been shown that specific non-generative (i.e. contractive denoising autoencoders) can be turned into generative models using reinjections iterative sampling). In this work, we provide mathematical evidence any autoencoder reproducing input data loss information sample from training reinjections. More precisely, prove property modeling given sampling not only applies but all...

Deficits in amnesic patients suggest that spatial cognition and episodic memory are intimately related. Among the different types of processing, allocentric, relying on hippocampal formation, egocentric-updated, parieto-temporal connections have both been considered to functionally underlie encoding retrieval. We explore cerebral correlates underlying retrieval words previously learnt outside magnet while performing processes, allocentric egocentric-updated. Subsequently during fMRI,...

The aim of this experiment was to investigate the postural response specific types long-term memory (episodic vs. semantic) in young adults performing an unperturbed upright stance. Although a similar level steadiness (mean distance) observed, dual tasking induced higher velocity, more energy frequency range (power spectral density), and less regularity (sample entropy) compared with simple task. Moreover, mean velocity always greater semantic than episodic differences control during may...

Attractors of nonlinear neural systems are at the core memory self-refreshing mechanism human models that suppose memories dynamically maintained in a distributed network [Ans, B., and Rousset, S. (1997), ‘Avoiding Catastrophic Forgetting by Coupling Two Reverberating Neural Networks’ Comptes Rendus de l'Académie des Sciences Paris, Life Sciences, 320, 989–997; Ans, (2000), ‘Neural Networks with Self-Refreshing Memory: Knowledge Transfer Sequential Learning Tasks Without Forgetting’,...

Abstract In the field of memory, it is now admitted that an experience memory not only consequence activation a precise content, but also results from inference associated with transfer manner in which process was carried out (i.e., fluency) addition to itself. The aim this work show fluency due processing our interactions past environment. Firstly, participants performed perceptual discrimination task (geometric shapes: circle or square) involves fluent non-fluent gesture respond. Motor vs....