Preview

Contemporary Philosophical Research

Advanced search

PHILOSOPHICAL ANALYSIS OF NEURON ACTIVITY OF THE ORGANISM IN THE CONTEXT OF THE PROBLEM OF CONSCIOUSNESS IN CONTEMPORARY SCIENCE

https://doi.org/ 10.18384/2310-7227-2018-1-24-32

Abstract

The article provides a scientific analysis and explanation of the most important achievements in neuroethology and behavioural neurology concerning the analysis of neuron activity in the natural behaviour of living animals. This is a discussion of the possibility of step-by-step verification and of the heuristic potential of a philosophical approach to the analysis of the problems of consciousness. The author argues the need for a mediated analysis of the problems of consciousness, taking into account the rapidly growing amount of knowledge in this field. The question is raised of a scientific method of recording and signifying specific evolutionary processes. The author succeeded in revealing a mediated and multi-aspect interconnection between various kinds of human activity resulted from the specificity of human neuron nature, on the one hand, and causing human cultural phenomenologization, on the other hand.

About the Author

Vladislav V. Kozyrev
Bauman Moscow State Technical University
Russian Federation


References

1. Bolhuis J.J., Gahr M. Neural mechanisms of birdsong memory // Nature Reviews Neuroscience. 2006. Vol. 7. P. 347-357.

2. Brainard M.S., Doupe A.J. What songbirds teach us about learning // Nature. Vol. 417. P. 351-358.

3. Chauvette S., Seigneur J., Timofeev I. Sleep oscillations in the thalamocortical system induce long-term neuronal plasticity // Neuron. 2012. Vol. 75. Iss. 6. P. 1105-1113.

4. Euston D.R., Steenland H.W. Memories - getting wired during sleep // Science. 2014. Vol. 344. Iss. 6188. P. 1087-1088.

5. Gentner T.Q, Margoliash D. Neuronal populations and single cells representing learned auditory objects // Nature. 2003. Vol. 424. P. 669-674.

6. Isaacson J. S., Scanziani M. How inhibition shapes cortical activity // Neuron. 2011. Vol. 72. Iss. 2. P. 231-243.

7. Knowlton C., Meliza C.D., Margoliash D., Abarbanel H.D.I. Dynamical estimation of neuron and network properties III: network analysis using neuron spike times // Biological Cybernetics. 2014. Vol. 108. Iss. 3. P. 261-273.

8. Kostuk M., Toth B.A., Meliza C.D., Margoliash D., Abarbanel H.D. Dynamical estimation of neuron and network properties II: Path integral Monte Carlo methods // Biol Cyber. 2012. Vol. 106. Iss. 3. P. 155-167.

9. Lynch G.E., Okubo T.S., Hanuschkin A., Hahnloser R.H., Fee M.S. Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex // Neuron. 2016. Vol. 90. Iss. 4. P. 877-892.

10. Richards B.A., Frankland P.W. The persistence and transience of memory // Neuron. Vol. 94. Iss. 6. P. 1071-1084.

11. Yang G., Cora Sau Wan Lai, Cichon J., Lei Ma, Wei Li, Wen-Biao Gan. Sleep promotes branch-specific formation of dendritic spines after learning // Science. 2014. Vol. 344. Iss. 6188. P. 1173-1178.


Review

Views: 77


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2949-5121 (Print)
ISSN 2949-5148 (Online)