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Counting without a cortex - Neuronal correlates of quantity representations in the corvid brain

Subject Area Cognitive, Systems and Behavioural Neurobiology
Term from 2012 to 2017
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 212142797
 
Final Report Year 2018

Final Report Abstract

Cognitively-advanced corvids provide a “window of opportunity” to decipher the neurophysiological mechanisms of numerical representations based on different endbrain structures. With this funding, we were able to establish electrophysiological experiments in behaving carrion crows (Corvus corone) aimed at elucidating the workings of the NCL in number processing. The derived data provide novel insight into the role of an important corvid association area in complex numerical cognition. Classifying items according to their number is a particular abstract category. It allows animals to abstract from the sensory attributes of elements to arrive at the quantitative category “numerosity”. Ever since Koehler and his co-workers explored the numerical capabilities of birds, corvids have been known to excel relative to other birds. In our tasks that required absolute numerosity discriminations, carrion crows were able to discriminate the specific number of items in small and large visual item sets. They managed numerosity discriminations irrespective of the physical appearance of the array. For instance, when four dots were displayed in a square-like arrangement or as a straight line, both were judged as instances of numerosity four. Crows grasp the concept of numerical quantity. In subsequent recordings in discriminating crows, we found many neurons in the NCL that were tuned to individual numerosities ranging from 1 to 30 items. Such neurons showed the largest discharge rates for their “preferred numerosity”. The characteristics of both the neuronal and the behavioral tuning functions showed close correspondence. Moreover, numerosity selectivity was impaired during error trials. Both findings argue that the neuronal discharge of NCL neurons is the neuronal basis for the crows’ performance. Numerosityselective neurons in the crow NCL is not caused by training, because we also found such neurons in numerically-naïve crows that have never been trained to discriminate set sizes. As an interesting extension of the originally proposed research plan, we also recorded from the crow hippocampus while the corvids performed a delayed match-to-numerosity task. The lack of numerosity-selective neurons in the hippocampus suggests two major conclusions: First, numerosity-selectivity is processed in special brain networks of the avian brain, such as the NCL. Compared to the NCL, the hippocampus serves as a control recording area that obviously does not belong to the avain number network. Second, the avian hippocampus does not seem to be involved in tasks that do require non-spatial working memory. It seems that the avian and mammalian hippocampi are not only dissociated in terms of anatomical connectivity, but also in terms of function. To sum up, we managed to answer the main questions of the project: Numerosity-selective neurons exist in the NCL of numerically-trained and numerically-naïve crows. The observed code in the crow brain is surprisingly similar to the one observed previously in nonhuman primates. This way of coding numerical information seems to have evolved based on convergent evolution, probably as a superior solution to a common computational problem. We hope our studies underscore the value of a comparative systems neuroscience approach, which we believe is indispensable for deciphering evolutionary stable neuronal mechanisms and codes.

Publications

  • (2018) Neurons in the Hippocampus of Crows Lack Responses to Non-spatial Abstract Categories. Frontiers in systems neuroscience 12 33
    Ditz, Helen M.; Kupferman, Jennifer K.; Nieder, Andreas
    (See online at https://doi.org/10.3389/fnsys.2018.00033)
  • (2013) Abstract rule neurons in the endbrain support intelligent behaviour in corvid songbirds. Nat Commun. 4: 2878
    Veit L, Nieder A
    (See online at https://doi.org/10.1038/ncomms3878)
  • (2014) Neuronal correlates of visual working memory in the corvid endbrain. J Neurosci. 34(23): 7778-86
    Veit L, Hartmann K, Nieder A
    (See online at https://doi.org/10.1523/JNEUROSCI.0612-14.2014)
  • (2015) Associative learning rapidly establishes neuronal representations of upcoming behavioral choices in crows. Proc Natl Acad Sci USA. 112(49): 15208-13
    Veit L, Pidpruzhnykova G, Nieder A
    (See online at https://doi.org/10.1073/pnas.1509760112)
  • (2015) Neurons selective to the number of visual items in the corvid songbird endbrain. Proc Natl Acad Sci USA. 112(25):7827-32
    Ditz HM, Nieder A
    (See online at https://doi.org/10.1073/pnas.1504245112)
  • (2016) Numerosity representations in crows obey the Weber-Fechner law. Proc Biol Sci. 283(1827): 20160083
    Ditz HM, Nieder A
    (See online at https://doi.org/10.1098/rspb.2016.0083)
  • (2016) Sensory and Working Memory Representations of Small and Large Numerosities in the Crow Endbrain. J Neurosci. 36(47): 12044-12052
    Ditz HM, Nieder A
    (See online at https://doi.org/10.1523/JNEUROSCI.1521-16.2016)
  • (2017) Evolution of cognitive and neural solutions enabling numerosity judgements: lessons from primates and corvids. Philos Trans R Soc Lond B Biol Sci. 19; 373(1740)
    Nieder A
    (See online at https://doi.org/10.1098/rstb.2016.0514)
  • (2017) Inside the corvid brain – probing the physiology of cognition in crows. Current Opinion in Behavioral Sciences 16:8–14
    Nieder A
    (See online at https://doi.org/10.1016/j.cobeha.2017.02.005)
  • (2018) Neurons in the Endbrain of Numerically Naive Crows Spontaneously Encode Visual Numerosity. Curr Biol. 28(7): 1090-1094.e4
    Wagener L, Loconsole M, Ditz HM, Nieder A
    (See online at https://doi.org/10.1016/j.cub.2018.02.023)
 
 

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