From Understanding Computation to Understanding Neural Circuitry

By D. Marr, Tomaso A. Poggio. 1976

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…2003; Kaplan, 1964; Kim, Khanna and Koyejo, 2016; Kment, 2014; Langley, 1987; Lulia Nastasia and Rakow, 2010; Machamer, Darden, and Craver, 2000; Marr and Poggio, 1976; Maxwell, 1974; Maze, 1954; Meissner, 1960; Rozeboom, 1956; Rozenblit and Keil, 2002; Scriven, 1958; Simon, 1992; Smith, 2014;…”
Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “In addition to Marr-Albus theory, Marr is also remembered for his influential proposal that neural systems should be studied at three levels of analysis: computational, algorithmic, and implementational (Marr and Poggio, 1977).”
The benefits of noise in neural systems: bridging theory and experiment (2011, background): “Over 30 years ago, Marr and Poggio argued that computation in complex systems, such as the brain, must be understood at different levels of descriptio”
Semantics and the electrophysiology of meaning: Tense, aspect, event structure (2004, methodology): “The actual processing steps are described at the intermediate level, where constraint-satisfaction algorithms, implemented in artificial neural networks [132], and processing principles such as immediacy and incrementality are combined.”
Using Grid Cells for Navigation (2015, background): “Here, we consider the problem of large-scale vector navigation with grid cells at Marr’s three levels of analysis (Marr and Poggio, 1977).”
On the nature and origin of intuitive theories : learning, physics and psychology (2015, methodology): “According to the Marr-Poggio proposal, we need to think about cognitive systems using three different levels of analysis: The computational, the algorithmic, and the implementation [112].”
Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning? (2013, background): “The goal of this paper is to introduce a new theory of learning invariant representations for object recognition which cuts across levels of analysis [5, 28].”
The minority report: some common assumptions to reconsider in the modelling of the brain and behaviour (2016, background): “This paper undertakes such a reevaluation for issues that extend over the three levels of the methodological hierarchy deﬁned by Marr and Poggio (1977; cf. Marr, 1982): problem, representation/algorithm and implementation.”
Sequential and efficient neural-population coding of complex task information (2019, unknown): “Here, we take a bottom-up approach of first visualizing and characterizing neural population dynamics in a decisionmaking behavior, which then inspired hypotheses at both computation and implementation levels (Marr and Poggio, 1976).”
Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex (2016, result): “This is analogous to the algorithmic level of analysis that DavidMarr proposed 40 years ago [122].”
On internal language representations in deep learning: an analysis of machine translation and speech recognition (2018, background): “In terms of the levels of analysis put forth by Marr and Poggio [226], it is concerned mainly with the algorithmic level: what mechanisms and representations are used by deep learning models of language.”
Neuroscience-Inspired Artificial Intelligence. (2017, background): “…to the top two levels of the three levels of analysis that Marr famously stated are required to understand any complex biological system (Marr and Poggio, 1976): the goals of the sys-tem (the computational level) and the process and computations that realize this goal (the algorithmic…”
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic (2015, background): “Introduction Marr and Poggio (1977) proposed a key methodology of cognitive science: proceed by forming levels of analysis that can, and should, be studied independently.”
1 On what it means to see , and what we can do about it (2008, unknown): “The research program initiated by Marr and Poggio (1977), now in its fourth decade, spurred progress in understanding biological vision and contributed to the development of better machine vision systems.”