1995
DOI: 10.1007/3-540-59497-3_167
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Local accumulation of persistent activity at synaptic level: Application to motion analysis

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Cited by 19 publications
(21 citation statements)
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“…At this point, we introduce the accumulative computation model (Fernandez & Mira, 1992;Fernandez et al, 1995). This model basically responds to a sequential module represented by its charge value.…”
Section: Accumulative Computation Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…At this point, we introduce the accumulative computation model (Fernandez & Mira, 1992;Fernandez et al, 1995). This model basically responds to a sequential module represented by its charge value.…”
Section: Accumulative Computation Modelmentioning
confidence: 99%
“…The proposed algorithm also incorporates the notion of double time scale at accumulative computation level present at sub-cellular micro-computation (Fernandez et al, 1995). The following properties are applicable to this model: (a) local convergent process around each element, (b) semiautonomous functioning, with each element capable of spatial-temporal accumulation of local inputs at time scale T, and conditional discharge, and (c) attenuated transmission of these accumulations of persistent coincidences towards the periphery that integrates at the global time scale t. Therefore there are two different time scales: (a) local time T, and (b) global time t ðT p tÞ: Fig.…”
Section: Double Time Scalementioning
confidence: 99%
“…Next the accumulative computation model [5] is introduced. This model basically responds to a sequential module represented by its state value.…”
Section: Accumulative Computation Modelmentioning
confidence: 99%
“…The model also incorporates the notion of double time scale at accumulative computation level present at sub-cellular micro-computation [5]. The following properties are applicable to the model: (a) a local convergent process around each element, (b) a semiautonomous functioning, with each element capable of spatio-temporal accumulation of local inputs in time scale T, and conditional discharge, and, (c) an attenuated transmission of these accumulations of persistent coincidences towards the periphery that integrates at the global time scale t. Therefore there are two different time scales: (a) the local time T = n ∆T, and, (b) the global time t = k ∆t (T<<t).…”
Section: Double Time Scale Modelmentioning
confidence: 99%
“…Image Understanding Foetus Measurements (BPD, FL, AC) Knowledge Injection , followed by a set of co-operating lateral interaction processes performed on a functional receptive field organised as centre-periphery over linear expansions of their input spaces [11] [12] [13]. The model also incorporates the notion of double time scale at accumulative computation level present at sub-cellular micro-computation [7]. Any stage of step 2 is implemented as a neural layer as depicted on figure 2.…”
Section: Step 2 Image Processing By Lateral Interaction In Accumulatmentioning
confidence: 99%