Path integration in place cells of developing rats

Bjerknes, Tale L.; Dagslott, Nenitha; Moser, Edvard I; Moser, May‐Britt

doi:10.1073/pnas.1719054115

Cited by 57 publications

(49 citation statements)

References 30 publications

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“…We quantified AP tuning of the experimental AP tuning curve by computing the spatial information SI. We divided the area in pixels (2.5cm width, Bjerknes et al 2018) as computed SI = ∑p i .FR i /FR avg .log 2 (FR i /FR avg ), where FR i is the firing rate in the i th pixel, FR avg the average firing rate, and p i the probability of being in the i th pixel.…”

Section: Methodsmentioning

confidence: 99%

Multiplexed code of navigation variables in anterior limbic areas

Laurens

Abrego

Cham

et al. 2019

Preprint

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The brain’s navigation system integrates multimodal cues to create a sense of position and orientation. Here we used a multimodal model to systematically assess how neurons in the anterior thalamic nuclei, retrosplenial cortex and anterior hippocampus of mice, as well as in the cingulum fiber bundle and the white matter regions surrounding the hippocampus, encode an array of navigational variables when animals forage in a circular arena. In addition to coding head direction, we found that some thalamic cells encode the animal’s allocentric position, similar to place cells. We also found that a large fraction of retrosplenial neurons, as well as some hippocampal neurons, encode the egocentric position of the arena’s boundary. We compared the multimodal model to traditional methods of head direction tuning and place field analysis, and found that the latter were inapplicable to multimodal regions such as the anterior thalamus and retrosplenial cortex. Our results draw a new picture of the signals carried and outputted by the anterior thalamus and retrosplenial cortex, offer new insights on navigational variables represented in the hippocampus and its vicinity, and emphasize the importance of using multimodal models to investigate neural coding throughout the navigation system.

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Section: Methodsmentioning

confidence: 99%

Multiplexed code of navigation variables in anterior limbic areas

Laurens

Abrego

Cham

et al. 2019

Preprint

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“…presence of orientation selectivity in the visual system before visual experience (Chapman et al, 19 1999;Ackman and Crair, 2014;McVea et al, 2016), path integration during early stages before 20 maturation of grid cells (Bjerknes et al, 2018). In a sensory brain region therefore, during early 21 development one would expect to see a larger repertoire of spontaneous activity patterns compared 22…”

Section: Comparison Between Sensory-evoked and Spontaneous Activity Pmentioning

confidence: 99%

Spatiotemporal structure of sensory-evoked and spontaneous activity revealed by mesoscale imaging in anesthetized and awake mice

Afrashteh

Inayat

Bermudez-Contreras

et al. 2020

Preprint

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1Brain activity propagates across the cortex in diverse spatiotemporal patterns, both as a response 2 to sensory stimulation and during spontaneous activity. Despite been extensively studied, the 3 relationship between the characteristics of such patterns during spontaneous and evoked activity 4 is not completely understood. To investigate this relationship, we compared visual, auditory, and 5 tactile evoked activity patterns elicited with different stimulus strengths and spontaneous activity 6 motifs in lightly anesthetized and awake mice using mesoscale wide-field voltage-sensitive dye 7 and glutamate imaging respectively. The characteristics of cortical activity that we compared 8 include amplitude, speed, direction, and complexity of propagation trajectories in spontaneous and 9 evoked activity patterns. We found that the complexity of the propagation trajectories of 10 spontaneous activity, quantified as their fractal dimension, is higher than the one from sensory 11 evoked responses. Moreover, the speed and direction of propagation, are modulated by the 12 amplitude during both, spontaneous and evoked activity. Finally, we found that spontaneous 13 activity had similar amplitude and speed when compared to evoked activity elicited with low 14 stimulus strengths. However, this similarity gradually decreased when the strength of stimuli 15 eliciting evoked responses increased. Altogether, these findings are consistent with the fact that 16 even primary sensory areas receive widespread inputs from other cortical regions, and that, during 17 rest, the cortex tends to reactivate traces of complex, multi-sensory experiences that may have 18 occurred in a range of different behavioural contexts. 19 20

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“…For example, while a young zebrafish larvae mostly needs to avoid threats (Burgess and Granato, 2007;Heap et al, 2018;Temizer et al, 2015) and find food (Lindsay and Vogt, 2004), more cognitively demanding behaviours such as associative learning (Valente et al, 2012) or social interactions (Dreosti et al, 2015;Hinz and de Polavieja, 2017) emerge later in development during the juvenile stage around 3-4 weeks. Such expansion of the behavioural repertoire is a feature that is conserved across vertebrates (Anderson, 1984;Brenowitz and Beecher, 2005), and often accompanied with the development, establishment and maturation of distinct circuit components generating functional modules within the brain (Bjerknes et al, 2018;Donato et al, 2017;Tottenham and Gabard-Durnam, 2017). Hence, brain development and maturation is not just a linear expansion of the existing building blocks, but also a sequential increase in the diversity of functional modules and cell types.…”

Section: Introductionmentioning

confidence: 99%

Functional properties of habenular neurons are determined by developmental stage and sequential neurogenesis

Fore

Coşacak

Verdugo

et al. 2019

Preprint

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Neural development is not just a linear expansion of the brain. Instead, the structure and function of developing brain circuits undergo drastic alterations that have a direct impact on the animals' expanding behavioural repertoire. Here we investigated the developmental changes in the habenula, a brain region that mediates behavioural flexibility during learning, social interactions and aversive experiences. We showed that developing habenular circuits exhibit multiple alterations, which increase the structural and functional diversity of cell types, inputs and functional modules within habenula. As the neural architecture of habenula develops, it sequentially transforms into a multi-sensory brain region that can process visual and olfactory information. Moreover, we also observed that already at early developmental stages, the habenula exhibits spatio-temporally structured spontaneous neural activity that shows prominent alterations and refinement with age. Interestingly, these alterations in spontaneous activity are accompanied by sequential neurogenesis and integration of distinct neural clusters across development. Finally, by combining an in vivo neuronal birthdating method with functional imaging, we revealed that clusters of habenular neurons with distinct functional properties are born sequentially at distinct developmental time windows. Our results highlight a strong link between the function of habenular neurons and their precise birthdate during development, which supports the idea that sequential neurogenesis leads to an expansion of neural clusters that correspond to distinct functional modules in the brain.

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Path integration in place cells of developing rats

Cited by 57 publications

References 30 publications

Multiplexed code of navigation variables in anterior limbic areas

Multiplexed code of navigation variables in anterior limbic areas

Spatiotemporal structure of sensory-evoked and spontaneous activity revealed by mesoscale imaging in anesthetized and awake mice

Functional properties of habenular neurons are determined by developmental stage and sequential neurogenesis

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