Effects of Weak Signal Frequency on Multiple Stochastic Resonance Induced by Feedback Mechanism

Veli Baysal

Makale detayları

Effects of Weak Signal Frequency on Multiple Stochastic Resonance Induced by Feedback Mechanism

Yazarlar:

Veli Baysal

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Sinir Mühendisliği

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 1, pp.80-91

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316434

pISSN:

2146-7277

Anahtar kelimeler:

Özet:

 The mechanism of signal perception in the nervous system is highly complex and heavily dependent on environmental factors. One of the most significant factors affecting this mechanism is the naturally emerging noise at both the micro and macro levels of the brain. Experimental and numerical studies demonstrate that the nervous system utilizes noise to optimize its information processing capacity. Maximizing the weak signal capacity of neurons at a sufficient noise level is explained with the concept of stochastic resonance. This study examines the effects of weak signal frequency on the stochastic resonance phenomenon triggered by ion channel noise depending on the biological functions of the feedback mechanism in Hodgkin-Huxley neurons with an electrical feedback connection. The findings indicate that the autaptic feedback mechanism significantly enhances the signal coding capacity of Hodgkin-Huxley neurons across all frequencies within the range of frequencies to which the neuron is sensitive. Also, it is observed that the subthreshold signal detection capacity of Hodgkin-Huxley neurons exhibits resonance behaviour depending on feedback coupling strength at the appropriate feedback time delays for all frequencies in this range. Furthermore, it is shown that the maximal weak signal coding performance of Hodgkin-Huxley neuron displays multiple stochastic resonance phenomena depending on the feedback time delay. These points of maximal stochastic resonance are determined by the frequency of the applied weak signal.

 The mechanism of signal perception in the nervous system is highly complex and heavily dependent on environmental factors. One of the most significant factors affecting this mechanism is the naturally emerging noise at both the micro and macro levels of the brain. Experimental and numerical studies demonstrate that the nervous system utilizes noise to optimize its information processing capacity. Maximizing the weak signal capacity of neurons at a sufficient noise level is explained with the concept of stochastic resonance. This study examines the effects of weak signal frequency on the stochastic resonance phenomenon triggered by ion channel noise depending on the biological functions of the feedback mechanism in Hodgkin-Huxley neurons with an electrical feedback connection. The findings indicate that the autaptic feedback mechanism significantly enhances the signal coding capacity of Hodgkin-Huxley neurons across all frequencies within the range of frequencies to which the neuron is sensitive. Also, it is observed that the subthreshold signal detection capacity of Hodgkin-Huxley neurons exhibits resonance behaviour depending on feedback coupling strength at the appropriate feedback time delays for all frequencies in this range. Furthermore, it is shown that the maximal weak signal coding performance of Hodgkin-Huxley neuron displays multiple stochastic resonance phenomena depending on the feedback time delay. These points of maximal stochastic resonance are determined by the frequency of the applied weak signal.

 The mechanism of signal perception in the nervous system is highly complex and heavily dependent on environmental factors. One of the most significant factors affecting this mechanism is the naturally emerging noise at both the micro and macro levels of the brain. Experimental and numerical studies demonstrate that the nervous system utilizes noise to optimize its information processing capacity. Maximizing the weak signal capacity of neurons at a sufficient noise level is explained with the concept of stochastic resonance. This study examines the effects of weak signal frequency on the stochastic resonance phenomenon triggered by ion channel noise depending on the biological functions of the feedback mechanism in Hodgkin-Huxley neurons with an electrical feedback connection. The findings indicate that the autaptic feedback mechanism significantly enhances the signal coding capacity of Hodgkin-Huxley neurons across all frequencies within the range of frequencies to which the neuron is sensitive. Also, it is observed that the subthreshold signal detection capacity of Hodgkin-Huxley neurons exhibits resonance behaviour depending on feedback coupling strength at the appropriate feedback time delays for all frequencies in this range. Furthermore, it is shown that the maximal weak signal coding performance of Hodgkin-Huxley neuron displays multiple stochastic resonance phenomena depending on the feedback time delay. These points of maximal stochastic resonance are determined by the frequency of the applied weak signal.

 Sinir sisteminde sinyal algılama mekanizması oldukça karmaşıktır ve çevresel faktörlere oldukça bağımlıdır. Beynin hem mikro hem de makro seviyesinde doğal olarak bulunan gürültü, bu mekanizmayı etkileyen en önemli faktörlerden biridir. Deneysel ve sayısal çalışmalar, nöronal sistemin, bilgi işleme kapasitesini optimal şekilde kullanmak için gürültüden faydalandığını göstermektedir. Nöronların zayıf sinyal sezinleme kapasitesinin, belirli bir gürültü seviyesinde maksimize olması stokastik rezonans kavramı ile açıklanmaktadır. Bu çalışmada, zayıf sinyal frekansının, elektriksel autaptik bir bağlantıya sahip Hodgkin-Huxley nöronlarında iyon kanal gürültüsü tarafından tetiklenen stokastik rezonans olgusuna olan etkileri, autaptik bağlantının biyolojik fonksiyonlarına bağlı olarak ele alınmıştır. Elde edilen bulgular, autaptik geri besleme bağlantısının, nöronun sinyallere duyarlı olduğu frekans aralığındaki bütün frekanslarda Hodgkin-Huxley nöronlarının sinyal algılama kapasitesini önemli ölçüde geliştirdiğini göstermiştir. Ayrıca, eşik altı sinyalin bu aralıktaki bütün frekanslarında Hodgkin-Huxley öronunun sinyal algılama kapasitesinin, uygun autaptik zaman gecikme değerlerinde autaptik iletkenliğe bağlı olarak rezonans davranışı sergilediği görülmüştür. Ek olarak, zayıf sinyalin bütün frekanslarında Hodgkin-Huxley nöronunun maksimal sinyal algılama performansının, autaptik zaman gecikmesine bağlı olarak çoklu stokastik rezonans fenomeni sergilediği görülmektedir. Bu stokastik rezonansların maksimal olduğu autaptik zaman gecikmesi noktaları, uygulanan zayıf sinyal frekansı tarafından belirlenmektedir.

Makale detayları

Effects of Weak Signal Frequency on Multiple Stochastic Resonance Induced by Feedback Mechanism

Yazarlar:

Veli Baysal

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Sinir Mühendisliği

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 1, pp.80-91

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316434

pISSN:

2146-7277

Hodgkin-Huxley neuron

autaptic synapse

weak signal frequency.Hodgkin-Huxley nöron

öz-sinaps

zayıf sinyal frekansı.

Sayı

Makale detayları

Effects of Weak Signal Frequency on Multiple Stochastic Resonance Induced by Feedback Mechanism

Yazarlar: Veli Baysal

Yayıncı: Zonguldak Bulent Ecevit University

Ana Başlıklar: Sinir Mühendisliği

Dergi: Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 1, pp.80-91

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001316434

pISSN: 2146-7277

Hodgkin-Huxley neuron

autaptic synapse

weak signal frequency.Hodgkin-Huxley nöron

öz-sinaps

zayıf sinyal frekansı.

Sayı

Yazarlar:

Veli Baysal

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Sinir Mühendisliği

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 1, pp.80-91

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316434

pISSN:

2146-7277