A global competitive neural network

Taylor, John G.; Alavi, F.N.

doi:10.1007/bf00201487

Cited by 34 publications

(18 citation statements)

References 34 publications

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“…Some hypotheses (models) of thalamocortical relation propose more complex functions for the thalamus than being just a relay station to the cortex [20][21][22][23][24][25]. In case of regarding an oscillatory relation between thalamus and cortex [21][22][23] or proposing that lower and higher areas can communicate to correct the effect of external noise [21], the thalamus might be resistant to the effect of external electrical stimulation, as might be the case in our experiment.…”

Section: Discussionmentioning

confidence: 83%

“…In case of regarding an oscillatory relation between thalamus and cortex [21][22][23] or proposing that lower and higher areas can communicate to correct the effect of external noise [21], the thalamus might be resistant to the effect of external electrical stimulation, as might be the case in our experiment. This noise tolerance does not break down with conventional current profiles used in thalamotomy or deep brain stimulation.…”

Section: Discussionmentioning

confidence: 87%

“…Given the resurgence of interest on modeling thalamic activity [20][21][22][23][24], such as, for example, the role of oscillations in thalamocortical interaction [21,25], it is interesting to consider the effects of external noise in light of these recent views. An important question is at what level thalamic noise tolerance breaks down or why it does not at a given level.…”

Section: Introductionmentioning

confidence: 99%

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Tactile Discrimination Task Not Disturbed by Thalamic Stimulation

Abbassian¹,

Shahzadi

Afraz³

et al. 2001

Stereotact Funct Neurosurg

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The major pathway of human somatosensation passes through the ventrocaudal nucleus (Vc) of the thalamus. We tested the effect of direct electrical stimulation of the Vc on tactile discrimination in 5 Parkinson patients undergoing stereotactic thalamotomy. Raised gratings with lines 3, 4, or 6 mm apart were used. Patients had to actively touch test patterns placed in the hand contralateral to the thalamus under operation and compare it with a reference 3-mm grating held continuously in their other hand. Their performance was best for 6-mm, followed by 3-mm and then by 4-mm patterns regardless of electrical stimulation. Under Vc stimulation, patients recognized the 4-mm gratings slightly better. This can be explained either by the nature of thalamocortical interaction, which makes it resistant to external noise, or by the involvement of other pathways that circumvent the effect of thalamic stimulation.

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tactile Discrimination Task Not Disturbed by Thalamic Stimulation

Abbassian¹,

Shahzadi

Afraz³

et al. 2001

Stereotact Funct Neurosurg

View full text Add to dashboard Cite

show abstract

“…It is discovered that excitatory and inhibitory features are present in neural activities aimed at learning (Fukai and Tanaka 1997;Taylor and Alavi 1995). When biological neural systems are stimulated, neural activities 'provoke' excitations or inhibitions of neurons.…”

Section: Competitive Neural Network (Cnn)mentioning

confidence: 99%

Banknote recognition: investigating processing and cognition framework using competitive neural network

Oyedotun

Khashman

2016

Cogn Neurodyn

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Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded. In a similar analogy, the robustness of intelligent systems to perform the task of banknote recognition should not collapse under some minimum level of partial occlusion. Artificial neural networks are intelligent systems which from inception have taken many important cues related to structure and learning rules from the human nervous/cognition processing system. Likewise, it has been shown that advances in artificial neural network simulations can help us understand the human nervous/cognition system even furthermore. In this paper, we investigate three cognition hypothetical frameworks to vision-based recognition of banknote denominations using competitive neural networks. In order to make the task more challenging and stress-test the investigated hypotheses, we also consider the recognition of occluded banknotes. The implemented hypothetical systems are tasked to perform fast recognition of banknotes with up to 75 % occlusion. The investigated hypothetical systems are trained on Nigeria's Naira banknotes and several experiments are performed to demonstrate the findings presented within this work.

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“…Shorter lived bubbles in lower sites in the cortical hierarchy will not have had time to ''fight their good fight''; they will have disappeared before they can win. The battle is a slow one due to the lateral connections causing effectively much longer time parameters for the dynamics of the laterally connected net than for the single neurons themselves (Taylor & Alavi, 1995).…”

Section: Daltonmentioning

confidence: 99%