From baconian to popperian neuroscience

Article

Gamez, D. 2012. From baconian to popperian neuroscience. Neural Systems and Circuits. 2. https://doi.org/10.1186/2042-1001-2-2
TypeArticle
TitleFrom baconian to popperian neuroscience
AuthorsGamez, D.
Abstract

The development of neuroscience over the past 50 years has some similarities with the development of physics in the 17th century. Towards the beginning of that century, Bacon promoted the systematic gathering of experimental data and the induction of scientific truth; towards the end, Newton expressed his principles of gravitation and motion in a concise set of mathematical equations that made precise falsifiable predictions. This paper expresses the opinion that as neuroscience comes of age, it needs to move away from amassing large quantities of data about the brain, and adopt a popperian model in which theories are developed that can make strong falsifiable predictions and guide future experimental work.

PublisherBioMed Central
JournalNeural Systems and Circuits
ISSN2042-1001
Publication dates
Print30 Jan 2012
Publication process dates
Accepted21 Dec 2011
Deposited21 Sep 2023
Output statusPublished
Publisher's version
License
Additional information

Opinion piece

Digital Object Identifier (DOI)https://doi.org/10.1186/2042-1001-2-2
Web of Science identifierMEDLINE:22330680
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/8v3x8

Log in to edit

Download files

Publisher's version
2042-1001-2-2.pdf
License: CC BY 4.0

  • 58
    total views
  • 8
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Associative memory with biologically-inspired cell assemblies
Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43
Intelligence and consciousness in natural and artificial systems
Gamez, D. 2023. Intelligence and consciousness in natural and artificial systems. in: Chella, A. (ed.) Computational Approaches to Conscious Artificial Intelligence World Scientific.
Consciousness technology in Black Mirror. Do cookies feel pain?
Gamez, D. and Johnson, D. 2020. Consciousness technology in Black Mirror. Do cookies feel pain? in: Johnson, D. (ed.) Black Mirror and Philosophy WileyBlackwell. pp. 273-281
A.I.: Artificial Intelligence as philosophy: machine consciousness and intelligence
Gamez, D. 2023. A.I.: Artificial Intelligence as philosophy: machine consciousness and intelligence. in: Johnson, D., Kowalski, D., Lay, C. and Engels, K. (ed.) The Palgrave Handbook of Popular Culture as Philosophy Palgrave Macmillan.
Measuring intelligence in natural and artificial systems
Gamez, D. 2021. Measuring intelligence in natural and artificial systems. Journal of Artificial Intelligence and Consciousness. 08 (02), pp. 285-302. https://doi.org/10.1142/s2705078521500090
The relationships between intelligence and consciousness in natural and artificial systems
Gamez, D. 2020. The relationships between intelligence and consciousness in natural and artificial systems. Journal of Artificial Intelligence and Consciousness. 7 (1), pp. 51-62. https://doi.org/10.1142/S2705078520300017
Four preconditions for solving MC4 machine consciousness
Gamez, D. 2019. Four preconditions for solving MC4 machine consciousness. Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19). Stanford University, USA 25 - 27 Mar 2019 https://doi.org/urn:nbn:de:0074-2287-2
The intelligence of sheep
Gamez, D. 2019. The intelligence of sheep. Animal Sentience. 25 (27).
Fish consciousness [commentary on Woodruff on Fish Feel]
Gamez, D. 2018. Fish consciousness [commentary on Woodruff on Fish Feel]. Animal Sentience.
A brain-inspired cognitive system that mimics the dynamics of human thought
Ji, Y., Gamez, D. and Huyck, C. 2018. A brain-inspired cognitive system that mimics the dynamics of human thought. AI-2018 Thirty-eighth SGAI International Conference on Artificial Intelligence. Cambridge, UK 11 - 13 Dec 2018 Springer. pp. 50-62 https://doi.org/10.1007/978-3-030-04191-5_4
Human and machine consciousness - a systematic approach
David Gamez 2018. Human and machine consciousness - a systematic approach. Open Book Publishers. https://doi.org/10.11647/OBP.0173.0081
Could neurolecturing address the limitations of live and recorded lectures?
Gamez, D. 2018. Could neurolecturing address the limitations of live and recorded lectures? Humana.Mente Journal of Philosophical Studies. 33, pp. 43-58.
Human and machine consciousness
Gamez, D. 2018. Human and machine consciousness. Cambridge, UK. Open Book Publishers.
Are information or data patterns correlated with consciousness?
Gamez, D. 2016. Are information or data patterns correlated with consciousness? Topoi. 35 (1), pp. 225-239. https://doi.org/10.1007/s11245-014-9246-7
Conscious sensation, conscious perception and sensorimotor theories of consciousness
Gamez, D. 2014. Conscious sensation, conscious perception and sensorimotor theories of consciousness. in: Bishop, J. and Martin, A. (ed.) Contemporary Sensorimotor Theory Cham Springer. pp. 159-174
The informational mind and the information integration theory of consciousness
Gamez, D. 2014. The informational mind and the information integration theory of consciousness. International Journal of Machine Consciousness. 6 (1), pp. 21-28. https://doi.org/10.1142/S1793843014400046
The measurement of consciousness: a framework for the scientific study of consciousness
Gamez, D. 2014. The measurement of consciousness: a framework for the scientific study of consciousness. Frontiers in Psychology. 5, pp. 1-15. https://doi.org/10.3389/fpsyg.2014.00714
Can we prove that there are computational correlates of consciousness in the brain?
Gamez, D. 2014. Can we prove that there are computational correlates of consciousness in the brain? Journal of Cognitive Science. 15 (2), pp. 149-186. https://doi.org/10.17791/jcs.2014.15.2.149
Three tools for the real-time simulation of embodied spiking neural networks using GPUs
Fidjeland, A., Gamez, D., Shanahan, M. and Lazdins, E. 2013. Three tools for the real-time simulation of embodied spiking neural networks using GPUs. Neuroinformatics. 11 (3), pp. 267-290. https://doi.org/10.1007/s12021-012-9174-x
A neuronal global workspace for human-like control of a computer game character
Fountas, Z., Gamez, D. and Fidjeland, A. 2011. A neuronal global workspace for human-like control of a computer game character. 2011 IEEE Conference on Computational Intelligence and Games. Seoul, South Korea 31 Aug - 03 Sep 2011 IEEE.
Information integration based predictions about the conscious states of a spiking neural network
Gamez, D. 2010. Information integration based predictions about the conscious states of a spiking neural network. Consciousness and Cognition. 19 (1), pp. 294-310. https://doi.org/10.1016/j.concog.2009.11.001
Progress in machine consciousness
Gamez, D. 2008. Progress in machine consciousness. Consciousness and Cognition. 17 (3), pp. 887-910. https://doi.org/10.1016/j.concog.2007.04.005
Safeguarding SCADA systems with anomaly detection
Bigham, J., Gamez, D. and Lu, N. 2003. Safeguarding SCADA systems with anomaly detection. Gorodetsky, V., Popyack, L. and Skormin, V. (ed.) Second International Workshop on Mathematical Methods, Models, and Architectures for Computer Network Security. St. Petersburg, Russia 21 - 23 Sep 2003 Berlin, Heidelberg Springer. pp. 171-182 https://doi.org/10.1007/978-3-540-45215-7_14