%0 Conference Paper %1 WOS:000168850800007 %A Diniz, J %A Ludermir, TB %B CONNECTIONIST MODELS OF LEARNING, DEVELOPMENT AND EVOLUTION %C SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY, ENGLAND %D 2000 %E Sougne, RM French and JP %I SPRINGER-VERLAG LONDON LTD %K imported %P 63-72 %T Modeling modulatory aspects in association processes %X It is thought that the amygdala and the orbitofrontal cortex are involved in learning and memory systems and that groups of cholinergic and adrenergic neurons may function as modulators in the activity of those systems 9. It is also believed that association learning is very important in the control of motivational and emotional behaviours 8. Furthermore, it has been suggested that neurons involved in homeostatic regulation mechanisms (evolutionarily old structures in the brain) are related to neocortical neurons (evolutionarily modern sectors) via emotion 3. On the other hand. modularity has been often considered in systems simulating brain activity 5, 1. In this work, we propose a modular system with a particular module able to evaluate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules' computations. Our aim is to show the properties of the system proposed under the influence of this particular module.

@inproceedings{WOS:000168850800007, abstract = {It is thought that the amygdala and the orbitofrontal cortex are involved in learning and memory systems and that groups of cholinergic and adrenergic neurons may function as modulators in the activity of those systems [9]. It is also believed that association learning is very important in the control of motivational and emotional behaviours [8]. Furthermore, it has been suggested that neurons involved in homeostatic regulation mechanisms (evolutionarily old structures in the brain) are related to neocortical neurons (evolutionarily modern sectors) via emotion [3]. On the other hand. modularity has been often considered in systems simulating brain activity [5, 1]. In this work, we propose a modular system with a particular module able to evaluate some variables reflecting the own system functions, in order to simulate internal states. According to that, this module has a modulatory role on the other modules' computations. Our aim is to show the properties of the system proposed under the influence of this particular module.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {SWEETAPPLE HOUSE CATTESHALL RD FARNCOMBE, GODALMING GU7 1NH, SURREY, ENGLAND}, author = {Diniz, J and Ludermir, TB}, biburl = {https://www.bibsonomy.org/bibtex/27fcb503e805ec6be325b0944a6a29800/ppgfis_ufc_br}, booktitle = {CONNECTIONIST MODELS OF LEARNING, DEVELOPMENT AND EVOLUTION}, editor = {Sougne, RM {French and JP}}, interhash = {cb9fa25f19fe0c062b6d4eeccedb834a}, intrahash = {7fcb503e805ec6be325b0944a6a29800}, issn = {1431-6854}, keywords = {imported}, note = {6th Neural Computation and Psychology Workshop, LIEGE, BELGIUM, SEP 16-18, 2000}, organization = {Belgian Natl Res Fdn; Univ Liege}, pages = {63-72}, publisher = {SPRINGER-VERLAG LONDON LTD}, pubstate = {published}, series = {PERSPECTIVES IN NEURAL COMPUTING}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {Modeling modulatory aspects in association processes}, tppubtype = {inproceedings}, year = 2000 }