Building animats: neurobiomimetic approach for cognitive systems

Braun, Jerome; DeAngelus, Marianne; Fischl, Kate D.; Hess, Austin; Shah, Danelle C.

doi:10.1117/12.2054606

Cited by 1 publication

(10 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We discuss NCAFF in more detail in our paper [2] which -in contrast to the present paper -is centered significantly, although not exclusively, on the first of two phases of our neurobiomimetic effort. 2 Nevertheless, in the interest of clarity of each of the two papers, there are some overlaps between them.…”

Section: Introductionmentioning

confidence: 90%

“…Among the complexity issues, as we discuss in more detail in [2], are the following. The number of regions and sub-regions is significant, e.g., several tens in the constructs studied in this work.…”

Section: Neurobiomimetic Cognitive Architecture Foundation Framework mentioning

confidence: 99%

“…2 Nevertheless, in the interest of clarity of each of the two papers, there are some overlaps between them. These overlaps in some instances may in some instances include similarities such as figures and the language of some paragraphs, as we deemed necessary to make each of the two papers more comprehensible for stand-alone reading.…”

Section: Introductionmentioning

confidence: 94%

“…In section 4 we outline the neurobiomimetic paradigm. For reasons of paper clarity, we also briefly outline (mainly in section 4) selected aspects pertaining to the preceding phase of our effort, which we discuss in more detail in [2]; this also includes a brief synopsis of NCAFF. 2 Section 5 discusses the cognitive task context, and the virtual-reality environment constructed in which the computational experiments were conducted.…”

Section: Introductionmentioning

confidence: 99%

“…For reasons of paper clarity, we also briefly outline (mainly in section 4) selected aspects pertaining to the preceding phase of our effort, which we discuss in more detail in [2]; this also includes a brief synopsis of NCAFF. 2 Section 5 discusses the cognitive task context, and the virtual-reality environment constructed in which the computational experiments were conducted. However, the key significance of this work is not in terms of this or any other particular application task, and we expand on this important point in the discussion section 12.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Neurobiomimetic constructs for intelligent unmanned systems and robotics

2014

Self Cite

View full text Add to dashboard Cite

This paper discusses a paradigm we refer to as neurobiomimetic, which involves emulations of brain neuroanatomy and neurobiology aspects and processes. Neurobiomimetic constructs include rudimentary and down-scaled computational representations of brain regions, sub-regions, and synaptic connectivity. Many different instances of neurobiomimetic constructs are possible, depending on various aspects such as the initial conditions of synaptic connectivity, number of neuron elements in regions, connectivity specifics, and more, and we refer to these instances as 'animats'. While downscaled for computational feasibility, the animats are very large constructs; the animats implemented in this work contain over 47,000 neuron elements and over 720,000 synaptic connections. The paper outlines aspects of the animats implemented, spatial memory and learning cognitive task, the virtual-reality environment constructed to study the animat performing that task, and discussion of results. In a broad sense, we argue that the neurobiomimetic paradigm pursued in this work constitutes a particularly promising path to artificial cognition and intelligent unmanned systems. Biological brains readily cope with challenges of real-life tasks that consistently prove beyond even the most sophisticated algorithmic approaches known. At the cross-over point of neuroscience, cognitive science and computer science, paradigms such as the one pursued in this work aim to mimic the mechanisms of biological brains and as such, we argue, may lead to machines with abilities closer to those of biological species.

show abstract

Section: Introductionmentioning

confidence: 90%

Section: Neurobiomimetic Cognitive Architecture Foundation Framework mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations