Mental Recognition of Objects via Ramsey Sentences

How does the Human Brain Recognize Dog?




Dogs display vast phenotypic diversity, including differences in height, skull shape, tail, etc.  Yet, humans are almost always able to quickly recognize a dog, despite no single feature or group of features are critical to distinguish dogs from other objects/animals.  In search of the mental activities leading human individuals to state “I see a dog”, we hypothesize that the brain might extract meaningful information from the environment using Ramsey sentences-like procedures.  To turn the proposition “I see a dog” in a Ramsey sentence, the term dog must be replaced by a long and complex assertion consisting only of observational terms, existential quantifiers and operational rules.  The Ramsey sentence for “I see a dog” sounds: “There is at least an entity called dog which satisfies the following conditions: it is an animal, it has four legs, …, etc, …, and is something that I have in my sight”.  We discuss the biological plausibility and the putative neural correlates of a Ramsey-like mechanism in the central nervous system.  We accomplish a brain-inspired, theoretical neural architecture consisting of a parallel network that requires virtually no memory, is devoid of probabilistic choices and can analyze huge but finite amounts of unique visual details, combining them into a single conceptual output.  In sum, Ramsey sentence stands for a versatile tool that can be used not just as a methodological device to cope with biophysical affairs, but also for a model to describe the real functioning of cognitive operations such as sensation and perception.


: theoretical terms; non-observable entity; sparce code; neural network, symbolic reasoning


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Ajabi Z, Keinath AT, Wei XX, et al. Population dynamics of head-direction neurons during drift and reorientation. Nature 2023; 615:892–899.

Andrews-Hanna JR, Smallwood J, Spreng RN. The default network and self-generated thought: component processes, dynamic control and clinical relevance. Annals N Y Academy Science 2014; 1316:29-52.

Arcaro M, Schade P, Vincent J, et al. Seeing faces is necessary for face-domain formation. Nature Neuroscience 2017; 20, 1404–1412.

Åström F, Koker R. A parallel neural network approach to prediction of Parkinson’s Disease. Expert Systems with Applications 2011; 38(10): 12470-12474.

Ben-Nun T; Hoefler T. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis. arXiv:1802.09941v2, 2018.

Benjamin AS, Zhang L-Q, Qiu C, Stocker AA, Kording KP. Efficient neural codes naturally emerge through gradient descent learning. Nature Communications 2022; 13(1):7972.

Berardi S, Silvia Steila. An intuitionistic version of Ramsey's Theorem and its use in Program Termination. Annals of Pure and Applied Logic 2015; 166(12):1382-1406.

Bernardy J-P; Blanck R, Chatzikyriakidis S, Lappin S, Maskharashvili A. Bayesian Inference Semantics: A Modelling System and A Test Suite. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM), pages 263–272, Minneapolis, June 6–7, 2019.

Bubeck Sébastien; Mark Sellke. 2022. A Universal Law of Robustness via Isoperimetry. arXiv:2105.12806

Bubeck S, Li Y, Nagaraj D. A Law of Robustness for Two-Layers Neural Networks. Proceedings of Machine Learning Research 2021; 134:1–17, 2021 34th Annual Conference on Learning Theory.

Carnap R. An Introduction to the Philosophy of Science. Dover Publications, 1995.

Cazettes F, Mazzucato L, Murakami M, et al. A reservoir of foraging decision variables in the mouse brain. Nature Neuroscience 2023.

Chariker L, Shapley R, Young L-S. Orientation Selectivity from Very Sparse LGN Inputs in a Comprehensive Model of Macaque V1 Cortex. Journal of Neuroscience 2016; 36(49):12368-12384.

Cicchini GM, D’Errico G, Burr DC. Crowding results from optimal integration of visual targets with contextual information. Nature Communications 2022; 13, 5741.

Cohen U, Chung S, Lee DD et al. Separability and geometry of object manifolds in deep neural networks. Nature Communications 2020; 11,746.

Ebrahimi S, Lecoq J, Rumyantsev O. et al. Emergent reliability in sensory cortical coding and inter-area communication. Nature 2022: 605: 713–721.

Edelman G. Neural Darwinism. New Perspectives Quarterly 2017; 31(1), 25-27.

Fenk LA, Riquelme JL, Laurent G. Interhemispheric competition during sleep. Nature 616; 312–318.

Fişek M, Herrmann D, Egea-Weiss A. et al. Cortico-cortical feedback engages active dendrites in visual cortex. Nature 617; 769–776.

Gaglianese A, Branco MP, Groen I, et al. Electrocorticography Evidence of Tactile Responses in Visual Cortices. Brain Topography 2020; 33: 559–570.

Gazzaniga MS. The Cognitive Neurosciences, Fourth Edition. MIT Press, 2009.

Gazzaniga MS. Shifting gears: seeking new approaches for mind/brain mechanisms. Annual Review Psychology 2013; 64:1-20.

Grainger J, Rey A, Dufau S. Letter perception: from pixels to pandemonium. Trends in Cognitive Sciences 2008; 12(10):381-7.

Grimaldi A, Gruel A, Besnainou C, Jérémie J-N, Martinet J, Perrinet LU. Precise Spiking Motifs in Neurobiological and Neuromorphic Data. Brain Science 2023: 13(1)68.

Hayama S, Chang L, Gumus K, King GR, Thomas Ernst. Neural correlates for perception of companion animal photographs. Neuropsychologia 2016; 85:278–286.

Hayward JJ, Castelhano MG, Oliveira KC, Corey E, Balkman C, et al. Complex disease and phenotype mapping in the domestic dog. Nature Communication 2016; 7, 10460.

Heim S, McMillan CT, Olm C, Grossman M. So Many Are "Few," but so Few Are Also "Few" - Reduced Semantic Flexibility in bvFTD Patients. Frontiers Psychology 2020; 3;11:582.

Hempel CG. The theoretician’s dilemma: A study in the logic of theory construction. Minnesota Studies in the Philosophy of Science 1958.; 2:173-226.

Hikosaka O; Nkahara H, Rand MK, Sakai K, Lu X, et al. Parallel neural networks for learning sequential procedures. Trends in Neurosciences 1999; 22(10);464-471.

Hintikka J. Ramsey Sentences and the Meaning of Quantifiers. Philosophy of Science 1998; 65(2): 289-305.

Hirai Y. A template matching model for pattern recognition: self-organization of templates and template matching by a disinhibitory neural network. Biological Cybernetics 1980; 38(2):91-101.

Huth AG, de Heer WA, Griffiths TL, Theunissen FE, Gallant JL. Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 2016; 28;532(7600):453-8.

Jackson R, Hoffman P, Pobric G, Lambon R. The nature and neural correlates of semantic association vs. conceptual similarity. Cerebral Cortex 2015; 25(11): 4319-4333.

Kanwisher N, Khosla M, Dobs K. Using artificial neural networks to ask ‘why’ questions of minds and brains. Trends in Neurosciences 2023; 46(3): P240-254.

Khandhadia AP, Murphy AP, Koyano KW, Leopold DA. Encoding of 3D physical dimensions by face-selective cortical neurons. PNAS 2023; 120 (9) e2214996120.

Koslow A. The Representational Inadequacy of Ramsey Sentences. Theoria 2008.

Lavi a, Sehgal M, de Sousa AF, Okabe A, Bear C, Silva AJ. Local memory allocation recruits memory ensembles across brain regions. Neuron 2022; 111(4): P470-480.E5.

Letko A; Hédan B, Snell A, Harris AC, Jagannathan V, et al. Genomic Diversity and Runs of Homozygosity in Bernese Mountain Dogs. Genes (Basel) 2023; 14(3):650.

Lewis D. How to define theoretical terms. Journal of Philosophy, 1970; 67(13): 426–44.

Liu X, Zeng Y, Zhang T, et al. Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform. Cognitive Computation 2016; 8: 967–981.

Lowther TS. Behaviourism in Disguise: The Triviality of Ramsey Sentence Functionalism. Axiomathes 2022; 32:101–121.

Macpherson Tom, Matsumoto M, Gomi H, Morimoto Y, Uchibe E, Hikida T. Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. Neural Networks 2021; 144:507-521.

Majer U. Ramsey's Conception of Theories: An Intuitionistic Approach. History of Philosophy Quarterly 1989; 6(2):233-258.

Marshel JH, Kim YS, Machado TA, Quirin S, Benson B, et al. Cortical layer-specific critical dynamics triggering perception. Science 2019; 365(6453):eaaw5202.

McDowell JJ. 2010. Behavioral and neural Darwinism: Selectionist function and mechanism in adaptive behavior dynamics, Behavioural Processes 2010; 84(1).

Misak C. Frank Ramsey: A Sheer Excess of Powers. OUP Oxford, 2020.

Olm CA, McMillan CT, Spotorno N, Clark R, Grossman M. The relative contributions of frontal and parietal cortex for generalized quantifier comprehension. Frontiers Human Neuroscience 2014; 8:610.

McMillan CT, Clark R, Moore P, Devita C, Grossman M. Neural basis for generalized quantifier comprehension. Neuropsychologia 2005; 43(12):1729-37.

Pastukhov A. First, you need a Gestalt: An interaction of bottom-up and top-down streams during the perception of the ambiguously rotating human walker. Sci Rep. 2017; 7(1):1158.

Pastur-Romay L A, Porto-Pazos AB, Cedron F, Pazos A. Parallel Computing for Brain Simulation. Current Top Medicine Chemistry 2017; 17(14):1646-1668.

Peres L, Rhodes O. Parallelization of Neural Processing on Neuromorphic Hardware. Frontiers Neuroscience 2022; 16.

Plassais J, Kim J, Davis BW, et al. Whole genome sequencing of canids reveals genomic regions under selection and variants influencing morphology. Nature Communication 2019; 10, 1489).

Ramsey FP. Theories, in The Foundations of Mathematics and Other Logical Essays, R. B. Braithwaite (ed.), London: Routledge, pp. 212–236, 1931.

Ramstead M, Friston KJ, Hipólito I. Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations. Entropy (Basel) 2020; 22(8):889.

Rao SC, Rainer G, Miller EK. Integration of what and where in the primate prefrontal cortex. Science 1997; 276(5313):821-4.

Ribeiro AH, Aguirre LA. “Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training. Neurocomputing 2018; 316:222-231.

Rosenbaum DA. It’s a Jungle in There: How Competition and Cooperation in the Brain Shape the Mind. Oxford University, 2014.

Rossi LF, Harris KD, Carandini M. Spatial connectivity matches direction selectivity in visual cortex. Nature 2020; 588:648–652.

Roy DS, Park YG., Kim ME, et al. Brain-wide mapping reveals that engrams for a single memory are distributed across multiple brain regions. Nature Communications 2022; 13, 1799.

Selfridge OG. Pandemonium: a pradigm for learning. In: Mechanization of thought processes: proceedings of a Symposium held at the national Physical Laboratory. London: HMSO, 513-526, 2017.

Sexton CL, Buckley C, Lieberfarb J, Subiaul F, Hecht EE, Bradley BJ. What Is Written on a Dog’s Face? Evaluating the Impact of Facial Phenotypes on Communication between Humans and Canines. Animals 2023, 13(14), 2385.

Shinn M, Hu A, Turner L. Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience. 2023; 26, 867–878.

Shilts J, Severin Y, Galaway F, et al. A physical wiring diagram for the human immune system. Nature 2022; 608:397–404

Toppel M. Applying Ramseyfication to Infrared Spectroscopy. Erkenn 2021.

Tozzi A, Peters JF. Multidimensional brain activity dictated by winner-take-all mechanisms. Neuroscience Letters 2018; 678 (21):83-89.

Tozzi A, Peters JG, Fingelkurts AA, Fingelkurts AA, Perlovsky L. Syntax meets semantics during brain logical computations. Progress in Biophysics and Molecular Biology 2018; 140:133-141.

Tozzi A, Peters JF. The common features of different brain activities. Neuroscience Letters, 2019; 692: 41-46.

Uran C, Peter A, Lazar A, Fries P, Singer W, Vinck M. Predictive coding of natural images by V1 firing rates and rhythmic synchronization. Neuron 2022; 110(7), P1240-1257.E8.

Yang T, Yu K, Zhang X. et al. Plastic and stimulus-specific coding of salient events in the central amygdala. Nature 2023; 616: 510–519.

Wakhloo AJ, Sussman TJ and Chung SY. Linear Classification of Neural Manifolds with Correlated Variability. Physics Review Letters 2023; 131, 027301.

Zhan J; Jiang X, Politzer-Ahles S, Zhou X. Neural correlates of fine-grained meaning distinctions: An fMRI investigation of scalar quantifiers. Human Brain Mapping 2017; 38(8):3848-3864.




How to Cite

Tozzi, A. (2023). Mental Recognition of Objects via Ramsey Sentences: How does the Human Brain Recognize Dog?. Journal of NeuroPhilosophy, 2(2).



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