Functional Connection Analysis in Nidupallium Caudolaterale of Pigeons During the Operant Conditioning Learning Process

The avian nidupallium caudolaterale (NCL), a key region of cognitive learning process, it is believed that it play an important role in the process of operational conditioned learning. To reveal the changes of neural activity in operant conditioning learning process, the experimental paradigms of operant conditioning are designed in this paper. The behavioral data and local field potential (LFP) signals of three experimental periods (induction, acquisition and extinction) from the NCL of three pigeons are recorded. Then, on the basis of coherence calculation, NCL functional networks in specific frequency bands (30–60 Hz) during three experimental periods are constructed, then we analyze and compare the topology characteristics of the network. The experimental results of behavioral and LFP data analysis indicate that during the period of induction, pigeons do not establish stable operant conditioning relationship, and the connection of the network is sparse, in which the connection strength and information transmission efficiency are at a low level. In the acquisition period, pigeons can establish this relationship through learning, the functional network connection becomes tighter, and the connection strength and information transmission efficiency are significantly improved. In the extinction period in which the operant conditioning relationship is destroyed, the functional connection is weakened. These results show that pigeons can establish stable operant conditioning relationship through learning, and strengthen the functional connection of NCL, making the information transmission more efficient. This paper provides basic electrophysiological experimental evidence for further revealing the dynamic functional connection mechanism in NCL of pigeons.

[1]  Revati Shriram,et al.  PSD based Coherence Analysis of EEG Signals for Stroop Task , 2014 .

[2]  V. Calhoun,et al.  Functional Brain Networks in Schizophrenia: A Review , 2009, Front. Hum. Neurosci..

[3]  Wenwen Bai,et al.  Functional connectivity among spike trains in neural assemblies during rat working memory task , 2014, Behavioural Brain Research.

[4]  Hui Wei,et al.  Prediction of Rat Behavior Outcomes in Memory Tasks Using Functional Connections among Neurons , 2013, PloS one.

[5]  Christos Constantinidis,et al.  Persistent Spiking Activity Underlies Working Memory , 2018, The Journal of Neuroscience.

[6]  Andreas Nieder,et al.  Neuronal Correlates of Visual Working Memory in the Corvid Endbrain , 2014, The Journal of Neuroscience.

[7]  Jonas Rose,et al.  Neural Correlates of Executive Control in the Avian Brain , 2005, PLoS biology.

[8]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[9]  Karl Zilles,et al.  The receptor architecture of the pigeons’ nidopallium caudolaterale: an avian analogue to the mammalian prefrontal cortex , 2011, Brain Structure and Function.

[10]  Karl J. Friston,et al.  Structural and Functional Brain Networks: From Connections to Cognition , 2013, Science.

[11]  Michael Colombo,et al.  Neural correlates of sample-coding and reward-coding in the delay activity of neurons in the entopallium and nidopallium caudolaterale of pigeons (Columba livia) , 2017, Behavioural Brain Research.

[12]  O. Güntürkün,et al.  Single unit activity during a Go/NoGo task in the “prefrontal cortex” of pigeons , 1999, Brain Research.

[13]  Onur Güntürkün,et al.  Functional aspects of dopamine metabolism in the putative prefrontal cortex analogue and striatum of pigeons (Columba livia) , 2002, The Journal of comparative neurology.

[14]  Deanna J. Greene,et al.  Chapter 33 – Development of the Brain’s Functional Network Architecture , 2016 .

[15]  Christoph Braun,et al.  Coherence of gamma-band EEG activity as a basis for associative learning , 1999, Nature.