Skip to main content
Advertisement
  • Loading metrics

Whisking, Sniffing, and the Hippocampal θ-Rhythm: A Tale of Two Oscillators

  • David Kleinfeld ,

    dk@physics.ucsd.edu

    Affiliations Department of Physics, University of California, San Diego, La Jolla, California, United States of America, Section of Neurobiology, University of California, San Diego, La Jolla, California, United States of America

  • Martin Deschênes,

    Affiliation Department of Psychiatry and Neuroscience, Laval University, Québec City, Canada

  • Nachum Ulanovsky

    Affiliation Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel

Abstract

The hippocampus has unique access to neuronal activity across all of the neocortex. Yet an unanswered question is how the transfer of information between these structures is gated. One hypothesis involves temporal-locking of activity in the neocortex with that in the hippocampus. New data from the Matthew E. Diamond laboratory shows that the rhythmic neuronal activity that accompanies vibrissa-based sensation, in rats, transiently locks to ongoing hippocampal θ-rhythmic activity during the sensory-gathering epoch of a discrimination task. This result complements past studies on the locking of sniffing and the θ-rhythm as well as the relation of sniffing and whisking. An overarching possibility is that the preBötzinger inspiration oscillator, which paces whisking, can selectively lock with the θ-rhythm to traffic sensorimotor information between the rat’s neocortex and hippocampus.

The hippocampus lies along the margins of the cortical mantle and has unique access to neuronal activity across all of the neocortex. From a functional perspective, the hippocampus forms the apex of neuronal processing in mammals and is a key element in the short-term working memory, where neuronal signals persist for tens of seconds, that is independent of the frontal cortex (reviewed in [1,2]). Sensory information from multiple modalities is highly transformed as it passes from primary and higher-order sensory areas to the hippocampus. Several anatomically defined regions that lie within the temporal lobe take part in this transformation, all of which involve circuits with extensive recurrent feedback connections (reviewed in [3]) (Fig 1). This circuit motif is reminiscent of the pattern of connectivity within models of associative neuronal networks, whose dynamics lead to the clustering of neuronal inputs to form a reduced set of abstract representations [4] (reviewed in [5]). The first way station in the temporal lobe contains the postrhinal and perirhinal cortices, followed by the medial and lateral entorhinal cortices. Of note, olfactory input—which, unlike other senses, has no spatial component to its representation—has direct input to the lateral entorhinal cortex [6]. The third structure is the hippocampus, which contains multiple substructures (Fig 1).

thumbnail
Fig 1. Schematic view of the circuitry of the temporal lobe and its connections to other brain areas of relevance.

Figure abstracted from published results [715]. Composite illustration by Julia Kuhl.

https://doi.org/10.1371/journal.pbio.1002385.g001

The specific nature of signal transformation and neuronal computations within the hippocampus is largely an open issue that defines the agenda of a great many laboratories. Equally vexing is the nature of signal transformation as the output leaves the hippocampus and propagates back to regions in the neocortex (Fig 1)—including the medial prefrontal cortex, a site of sensory integration and decision-making—in order to influence perception and motor action. The current experimental data suggest that only some signals within the sensory stream propagate into and out of the hippocampus. What regulates communication with the hippocampus or, more generally, with structures within the temporal lobe? The results from studies in rats and mice suggest that the most parsimonious hypothesis, at least for rodents, involves the rhythmic nature of neuronal activity at the so-called θ-rhythm [16], a 5–10 Hz oscillation (reviewed in [17]). The origin of the rhythm is not readily localized to a single locus [10], but certainly involves input from the medial septum [17] (a member of the forebrain cholinergic system) as well as from the supramammillary nucleus [10,18] (a member of the hypothalamus). The medial septum projects broadly to targets in the hippocampus and entorhinal cortex (Fig 1) [10]. Many motor actions, such as the orofacial actions of sniffing, whisking, and licking, occur within the frequency range of the θ-rhythm [19,20]. Thus, sensory input that is modulated by rhythmic self-motion can, in principle, phase-lock with hippocampal activity at the θ-rhythm to ensure the coherent trafficking of information between the relevant neocortical regions and temporal lobe structures [2123].

We now shift to the nature of orofacial sensory inputs, specifically whisking and sniffing, which are believed to dominate the world view of rodents [19]. Recent work identified a premotor nucleus in the ventral medulla, named the vibrissa region of the intermediate reticular zone, whose oscillatory output is necessary and sufficient to drive rhythmic whisking [24]. While whisking can occur independently of breathing, sniffing and whisking are synchronized in the curious and aroused animal [24,25], as the preBötzinger complex in the medulla [26]—the oscillator for inspiration—paces whisking at nominally 5–10 Hz through collateral projections [27]. Thus, for the purposes of reviewing evidence for the locking of orofacial sensory inputs to the hippocampal θ-rhythm, we confine our analysis to aroused animals that function with effectively a single sniff/whisk oscillator [28].

What is the evidence for the locking of somatosensory signaling by the vibrissae to the hippocampal θ-rhythm? The first suggestion of phase locking between whisking and the θ-rhythm was based on a small sample size [29,30], which allowed for the possibility of spurious correlations. Phase locking was subsequently reexamined, using a relatively large dataset of 2 s whisking epochs, across many animals, as animals whisked in air [31]. The authors concluded that while whisking and the θ-rhythm share the same spectral band, their phases drift incoherently. Yet the possibility remained that phase locking could occur during special intervals, such as when a rat learns to discriminate an object with its vibrissae or when it performs a memory-based task. This set the stage for a further reexamination of this issue across different epochs in a rewarded task. Work from Diamond's laboratory that is published in the current issue of PLOS Biology addresses just this point in a well-crafted experiment that involves rats trained to perform a discrimination task.

Grion, Akrami, Zuo, Stella, and Diamond [32] trained rats to discriminate between two different textures with their vibrissae. The animals were rewarded if they turned to a water port on the side that was paired with a particular texture. Concurrent with this task, the investigators also recorded the local field potential in the hippocampus (from which they extracted the θ-rhythm), the position of the vibrissae (from which they extracted the evolution of phase in the whisk cycle), and the spiking of units in the vibrissa primary sensory cortex. Their first new finding is a substantial increase in the amplitude of the hippocampal field potential at the θ-rhythm frequency—approximately 10 Hz for the data of Fig 2A—during the two, approximately 0.5 s epochs when the animal approaches the textures and whisks against it. There is significant phase locking between whisking and the hippocampal θ-rhythm during both of these epochs (Fig 2B), as compared to a null hypothesis of whisking while the animal whisked in air outside the discrimination zone. Unfortunately, the coherence between whisking and the hippocampal θ-rhythm could not be ascertained during the decision, i.e., turn and reward epochs. Nonetheless, these data show that the coherence between whisking and the hippocampal θ-rhythm is closely aligned to epochs of active information gathering.

thumbnail
Fig 2. Summary of findings on the θ-rhythm in a rat during a texture discrimination task, derived from reference [32].

(A) Spectrogram showing the change in spectral power of the local field potential in the hippocampal area CA1 before, during, and after a whisking-based discrimination task. (B) Summary index of the increase in coherence between the band-limited hippocampal θ-rhythm and whisking signals during approach of the rat to the stimulus and subsequent touch. The index reports , where ɸH and ɸW are the instantaneous phase of the hippocampal and whisking signals, respectively, and averaging is over all trials and animals. (C) Summary indices of the increase in coherence between the band-limited hippocampal θ-rhythm and the spiking signal in the vibrissa primary sensory cortex (“barrel cortex”). The magnitude of the index for each neuron is plotted versus phase in the θ-rhythm. The arrows show the concentration of units around the mean phase—black arrows for the vector average across only neurons with significant phase locking (solid circles) and gray arrows for the vector average across all neurons (open and closed circles). The concurrent positions of the vibrissae are indicated. The vector average is statistically significant only for the approach (p < 0.0001) and touch (p = 0.04) epochs.

https://doi.org/10.1371/journal.pbio.1002385.g002

The second finding by Grion, Akrami, Zuo, Stella, and Diamond [32] addresses the relationship between spiking activity in the vibrissa primary sensory cortex and the hippocampal θ-rhythm. The authors find that spiking is essentially independent of the θ-rhythm outside of the task (foraging in Fig 2C), similar to the result for whisking and the θ-rhythm (Fig 2B). They observe strong coherence between spiking and the θ-rhythm during the 0.5 s epoch when the animal approaches the textures (approach in Fig 2C), yet reduced (but still significant) coherence during the touch epoch (touch in Fig 2C). The latter result is somewhat surprising, given past work from a number of laboratories that observe spiking in the primary sensory cortex and whisking to be weakly yet significantly phase-locked during exploratory whisking [3337]. Perhaps overtraining leads to only a modest need for the transfer of sensory information to the hippocampus. Nonetheless, these data establish that phase locking of hippocampal and sensory cortical activity is essentially confined to the epoch of sensory gathering.

Given the recent finding of a one-to-one locking of whisking and sniffing [24], we expect to find direct evidence for the phase locking of sniffing and the θ-rhythm. Early work indeed reported such phase locking [38] but, as in the case of whisking [29], this may have been a consequence of too small a sample and, thus, inadequate statistical power. However, Macrides, Eichenbaum, and Forbes [39] reexamined the relationship between sniffing and the hippocampal θ-rhythm before, during, and after animals sampled an odorant in a forced-choice task. They found evidence that the two rhythms phase-lock within approximately one second of the sampling epoch. We interpret this locking to be similar to that seen in the study by Diamond and colleagues (Fig 2B) [32]. All told, the combined data for sniffing and whisking by the aroused rodent, as accumulated across multiple laboratories, suggest that two oscillatory circuits—the supramammillary nucleus and medial septum complex that drives the hippocampal θ-rhythm and the preBötzinger complex that drives inspiration and paces the whisking oscillator during sniffing (Fig 1)—can phase-lock during epochs of gathering sensory information and likely sustain working memory.

What anatomical pathway can lead to phase locking of these two oscillators? The electrophysiological study of Tsanov, Chah, Reilly, and O’Mara [9] supports a pathway from the medial septum, which is driven by the supramammillary nucleus, to dorsal pontine nuclei in the brainstem. The pontine nucleus projects to respiratory nuclei and, ultimately, the preBötzinger oscillator (Fig 1). This unidirectional pathway can, in principle, entrain breathing and whisking. Phase locking is not expected to occur during periods of basal breathing, when the breathing rate and θ-rhythm occur at highly incommensurate frequencies. However, it remains unclear why phase locking occurs only during a selected epoch of a discrimination task, whereas breathing and the θ-rhythm occupy the same frequency band during the epochs of approach, as well as touch-based target selection (Fig 2A). While a reafferent pathway provides the rat with information on self-motion of the vibrissae (Fig 1), it is currently unknown whether that information provides feedback for phase locking.

A seeming requirement for effective communication between neocortical and hippocampal processing is that phase locking must be achieved at all possible phases of the θ-rhythm. Can multiple phase differences between sensory signals and the hippocampal θ-rhythm be accommodated? Two studies report that the θ-rhythm undergoes a systematic phase-shift along the dorsal–ventral axis of the hippocampus [40,41], although the full extent of this shift is only π radians [41]. In addition, past work shows that vibrissa input during whisking is represented among all phases of the sniff/whisk cycle, at levels from primary sensory neurons [42,43] through thalamus [44,45] and neocortex [3337], with a bias toward retraction from the protracted position. A similar spread in phase occurs for olfactory input, as observed at the levels of the olfactory bulb [46] and cortex [47]. Thus, in principle, the hippocampus can receive, transform, and output sensory signals that arise over all possible phases in the sniff/whisk cycle. In this regard, two signals that are exactly out-of-phase by π radians can phase-lock as readily as signals that are in-phase.

What are the constraints for phase locking to occur within the observed texture identification epochs? For a linear system, the time to lock between an external input and hippocampal theta depends on the observed spread in the spectrum of the θ-rhythm. This is estimated as Δf ~3 Hz (half-width at half-maximum amplitude), implying a locking time on the order of 1/Δf ~0.3 s. This is consistent with the approximate one second of enhanced θ-rhythm activity observed in the study by Diamond and colleagues (Fig 2A) [32] and in prior work [39,48] during a forced-choice task with rodents.

Does the θ-rhythm also play a role in the gating of output from the hippocampus to areas of the neocortex? Siapas, Lubenov, and Wilson [48] provided evidence that hippocampal θ-rhythm phase-locks to electrical activity in the medial prefrontal cortex, a site of sensory integration as well as decision-making. Subsequent work [4951] showed that the hippocampus drives the prefrontal cortex, consistent with the known unidirectional connectivity between Cornu Ammonis area 1 (CA1) of the hippocampus and the prefrontal cortex [11] (Fig 1). Further, phase locking of hippocampal and prefrontal cortical activity is largely confined to the epoch of decision-making, as opposed to the epoch of sensory gathering. Thus, over the course of approximately one second, sensory information flows into and then out of the hippocampus, gated by phase coherence between rhythmic neocortical and hippocampal neuronal activity.

It is of interest that the medial prefrontal cortex receives input signals from sensory areas in the neocortex [52] as well as a transformed version of these input signals via the hippocampus (Fig 1). Yet it remains to be determined if this constitutes a viable hub for the comparison of the original and transformed signals. In particular, projections to the medial prefrontal cortex arise from the ventral hippocampus [2], while studies on the phase locking of hippocampal θ-rhythm to prefrontal neocortical activity were conducted in dorsal hippocampus, where the strength of the θ-rhythm is strong compared to the ventral end [53]. Therefore, similar recordings need to be performed in the ventral hippocampus. An intriguing possibility is that the continuous phase-shift of the θ-rhythm along the dorsal to the ventral axis of the hippocampus [40,41] provides a means to encode the arrival of novel inputs from multiple sensory modalities relative to a common clock.

A final issue concerns the locking between sensory signals and hippocampal neuronal activity in species that do not exhibit a continuous θ-rhythm, with particular reference to bats [5456] and primates [5760]. One possibility is that only the up and down swings of neuronal activity about a mean are important, as opposed to the rhythm per se. In fact, for animals in which orofacial input plays a relatively minor role compared to rodents, such a scheme of clocked yet arrhythmic input may be a necessity. In this case, the window of processing is set by a stochastic interval between transitions, as opposed to the periodicity of the θ-rhythm. This may imply that up/down swings of neuronal activity may drive hippocampal–neocortical communications in all species, with communication mediated via phase-locked oscillators in rodents and via synchronous fluctuations in bats and primates. The validity of this scheme and its potential consequence on neuronal computation remains an open issue and a focus of ongoing research.

Acknowledgments

We thank Gyorgy Buzsáki and Stefan Leutgeb for extended discussions, Dirk Feldmeyer and Harvey Karten for clarifying material on anatomical projections, and Elizabeth Buffalo for commentary on θ-rhythm in primates.

References

  1. 1. Squire LR. Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans. Psychological Review. 1993; 99:195–231.
  2. 2. Andersen P, Morris R, Amaral D (2006) The Hippocampus Book. Oxford: Oxford University Press.
  3. 3. Lavenex P, Amaral DG. Hippocampal-neocortical interaction: A hierarchy of associativity. Hippocampus. 2000; 10:420–430. pmid:10985281
  4. 4. Hopfield JJ. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences USA. 1982; 79:2554–2558.
  5. 5. Rolls ET, Treves A. Neural networks in the brain involved in memory and recall. Progress in Brain Research. 1994; 102:335–341. pmid:7800823
  6. 6. Vanderwolf CH. Hippocampal activity, olfaction, and sniffing: An olfactory input to the dentate gyrus. Brain Research. 1992; 593:197–208. pmid:1450928
  7. 7. Boccara CN, Kjonigsen LJ, Hammer IM, Bjaalie JG, Leergaard TB, et al. A three-plane architectonic atlas of the rat hippocampal region. Hippocampus. 2015; 25:838–857. pmid:25533645
  8. 8. Hartley T, Lever C, Burgess N, O’Keefe J. Space in the brain: How the hippocampal formation supports spatial cognition. Philosophical Transactions of the Royal Society B. 2014; 369:e20120510.
  9. 9. Tsanov M, Chah E, Reilly R, O’Mara SM. Respiratory cycle entrainment of septal neurons mediates the fast coupling of sniffing rate and hippocampal theta rhythm. European Journal of Neuroscience. 2014; 39:957–974. pmid:24329896
  10. 10. Pan W-X, McNaughton N. The supramammillary area: Its organization, functions and relationship to the hippocampus. Progress in Neurobiology. 2004; 74:127–166. pmid:15556285
  11. 11. Swanson LW. A direct projection from Ammon’s horn to prefrontal cortex in the rat. Brain Research. 1981; 217:150–154. pmid:7260612
  12. 12. Burwell RD, Amaral DG. Cortical afferents of the perirhinal, postrhinal, and entorhinal cortices of the rat. Jounal of Comparative Neurology. 1998; 398:179–205.
  13. 13. Aronoff R, Matyas F, Mateo C, Ciron C, Schneider B, et al. Long-range connectivity of mouse primary somatosensory barrel cortex. European Journal of Neuroscience. 2010; 31:2221–2233. pmid:20550566
  14. 14. Leutgeb S (2000) Using and generating neural codes for space interactions between hippocampus and septum (spatial memory) [dissertation]. Salt Late City (UT): University of Utah; 2000. 217 pp.
  15. 15. Smith JC, Abdala APL, Borgmann A, Rybak IA, Paton JFR. Brainstem respiratory networks: Building blocks and microcircuits. Trends in Neurosciences. 2013; 36:152–162. pmid:23254296
  16. 16. Green JD, Arduini AA. Hippocampal electrical activity in arousal. Journal of Neurophysiology. 1954; 17:533–547. pmid:13212425
  17. 17. Buzsáki G. Theta oscillations in the hippocampus. Neuron. 2002; 33:325–340. pmid:11832222
  18. 18. Kocsis B, Vertes RB. Characterization of neurons of the supramammillary nucleus and mammillary body that discharge rhythmically with the hippocampal theta rhythm in the rat. Journal of Neuroscience. 1994; 14:7040–7052. pmid:7965097
  19. 19. Welker WI. Analysis of sniffing of the albino rat. Behaviour. 1964; 12:223–244.
  20. 20. Moore JD, Kleinfeld D, Wang F. How the brainstem controls orofacial behaviors comprised of rhythmic actions. Trends in Neuroscience. 2014; 27:370–380.
  21. 21. Bland BH, Oddie SD. Theta band oscillation and synchrony in the hippocampal formation and associated structures: The case for its role in sensorimotor integration. Behavioural Brain Research. 2001; 127:119–136. pmid:11718888
  22. 22. Hasselmo ME. What is the function of hippocampal theta rhythm? Linking behavioral data to phasic properties of field potential and unit recording data. Hippocampus. 2005; 15:936–949. pmid:16158423
  23. 23. Mizuseki K, Sirota A, Pastalkova E, Buzsáki G. Theta oscillations provide temporal windows for local circuit computation in the entorhinal-hippocampal loop. Neuron. 2009; 64:267–280. pmid:19874793
  24. 24. Moore JD, Deschênes M, Furuta T, Huber D, Smear MC, et al. Hierarchy of orofacial rhythms revealed through whisking and breathing. Nature. 2013; 469:53–57.
  25. 25. Ranade S, Hangya B, Kepecs A. Multiple modes of phase locking between sniffing and whisking during active exploration. Journal of Neuroscience. 2013; 33:8250–8256. pmid:23658164
  26. 26. Smith JC, Ellenberger HH, Ballanyi K, Richter DW, Feldman JL. Pre-Botzinger complex: A brainstem region that may generate respiratory rhythm in mammals. Science. 1991; 254:726–729. pmid:1683005
  27. 27. Tan W, Pagliardini S, Yang P, Janczewski WA, Feldman JL. Projections of preBötzinger complex neurons in adult rats. Journal of Comparative Neurology. 2010; 18:1862–1878.
  28. 28. Kleinfeld D, Deschênes M, Wang F, Moore JD. More than a rhythm of life: Breathing as a binder of orofacial sensation. Nature Neurocience. 2014; 15:647–651.
  29. 29. Komisaruk BR. Synchrony between limbic system theta activity and rhythmical behavior in rats. Journal of Comparative and Physiological Psychology. 1970; 70:482–492. pmid:5418472
  30. 30. Semba K, Komisaruk BR. Phase of the theta wave in relation to different limb movements in awake rats. Electroencephalography and Clinical Neurophysiology. 1978; 44:61–71. pmid:74326
  31. 31. Berg RW, Whitmer D, Kleinfeld D. Exploratory whisking by rat is not phase-locked to the hippocampal theta rhythm. Journal of Neuroscience. 2006; 26:6518–6522. pmid:16775139
  32. 32. Grion N, Akrami A, Zuo Y, Stella F, Diamond ME. Coherence between rat sensorimotor system and hippocampus is enhanced during tactile discrimination. PLoS Biol. 2015; doi: pbio.1002384.
  33. 33. Curtis JC, Kleinfeld D. Phase-to-rate transformations encode touch in cortical neurons of a scanning sensorimotor system. Nature Neuroscience. 2009; 12:492–501. pmid:19270688
  34. 34. Crochet S, Petersen CCH. Correlating membrane potential with behaviour using whole-cell recordings from barrel cortex of awake mice. Nature Neuroscience. 2006; 9:608–609. pmid:16617340
  35. 35. Fee MS, Mitra PP, Kleinfeld D. Central versus peripheral determinates of patterned spike activity in rat vibrissa cortex during whisking. Journal of Neurophysiology. 1997; 78:1144–1149. pmid:9307141
  36. 36. Gentet LJ, Avermann M, Matyas F, Staiger JF, Petersen CCH. Membrane potential dynamics of GABAergic neurons in the barrel cortex of behaving mice. Neuron. 2010; 65:422–435. pmid:20159454
  37. 37. de Kock CP, Sakmann B. Spiking in primary somatosensory cortex during natural whisking in awake head-restrained rats is cell-type specific. Proceedings of the National Academy of Sciences USA. 2009; 106:16446–16450.
  38. 38. Macrides F. Temporal relationship between hippocampal slow waves and exploratory sniffing in hamsters. Behavioral Biology. 1975; 14:295–308. pmid:1137549
  39. 39. Macrides F, Eichenbaum HB, Forbes WB. Temporal relationship between sniffing and the limbic theta rhythm during odor discrimination reversal learning. Journal of Neuroscience. 1982; 12:1705–1717.
  40. 40. Patel J, Fujisawa S, Berenyi A, Royer S, Buzsáki G. Traveling theta waves along the entire septotemporal sxis of the hippocampus. Neuron. 2012; 75:410–417. pmid:22884325
  41. 41. Lubenov EV, Siapas AG. Hippocampal theta oscillations are travelling waves. Nature. 2009; 459:534–539. pmid:19489117
  42. 42. Szwed M, Bagdasarian K, Ahissar E. Coding of vibrissal active touch. Neuron. 2003; 40:621–630. pmid:14642284
  43. 43. Khatri V, Bermejo R, Brumberg JC, Keller A, Zeigler HP. Whisking in air: Encoding of kinematics by trigeminal ganglion neurons in awake rats. Journal of Neurophysiology. 2009; 101:836–886.
  44. 44. Moore JD, Mercer Lindsay N, Deschênes M, Kleinfeld D. Vibrissa self-motion and touch are encoded along the same somatosensory pathway from brainstem through thalamus. PLoS Biol. 2015; 13:e1002253. pmid:26393890
  45. 45. Urbain N, Salin PA, Libourel PA, Comte JC, Gentet LJ, et al. Whisking-related changes in neuronal firing and membrane potential dynamics in the somatosensory thalamus of awake mice. Cell Reports. 2015; 13:647–56. pmid:26489463
  46. 46. Shusterman R, Smear MC, Koulakov AA, Rinberg D. Precise olfactory responses tile the sniff cycle. Nature Neuroscience. 2011; 14:1039–1044. pmid:21765422
  47. 47. Miura K, Mainen ZF, Uchida N. Odor representation in olfactory cortex: Distribred rate coding and decorrelated population activity. Neuron. 2012; 74:1087–1098. pmid:22726838
  48. 48. Siapas AG, Lubenov EV, Wilson MA. Prefrontal phase locking to hippocampal theta oscillations. Neuron. 2005; 46:141–151. pmid:15820700
  49. 49. Jones MW, Wilson MA. Theta rhythms coordinate hippocampal–prefrontal interactions in a spatial memory task. PLoS Biol. 2005; 3:e402. pmid:16279838
  50. 50. Sirota A, Montgomery S, Fujisawa S, Isomura Y, Zugaro M, et al. Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm. Neuron. 2008; 60:683–697. pmid:19038224
  51. 51. Benchenane K, Peyrache A, Khamassi M, Tierney PL, Gioanni Y, et al. Coherent theta oscillations and reorganization of spike timing in the hippocampal-prefrontal network upon learning. Neuron. 2010; 66:921–936. pmid:20620877
  52. 52. Johnston JB. Further contributions to the study of the evolution of the forebrain. Journal of Comparative Neurology. 1923; 35:337–481.
  53. 53. Royer S, Sirota A, Patel J, Buzsáki G. Distinct representations and theta dynamics in dorsal and ventral hippocampus. Journal of Neuroscience. 2010; 30:1777–1787. pmid:20130187
  54. 54. Yartsev MM, Witter MP, Ulanovsky N. Grid cells without theta oscillations in the entorhinal cortex of bats. Nature. 2011; 479:103–107. pmid:22051680
  55. 55. Ulanovsky N, Moss CF. Hippocampal cellular and network activity in freely moving echolocating bats. Nature Neuroscience. 2007; 10:224–233. pmid:17220886
  56. 56. Yartsev MM, Ulanovsky N. Representation of three-dimensional space in the hippocampus of flying bats. Science. 2013; 340:367–372. pmid:23599496
  57. 57. Ekstrom AD, Caplan JB, Ho E, Shattuck K, Fried I, et al. Human hippocampal theta activity during virtual navigation. Hippocampus. 2005; 15:881–889. pmid:16114040
  58. 58. Stewart M, Fox SE. Hippocampal theta activity in monkeys. Brain Research. 1991; 538:59–63. pmid:2018932
  59. 59. Robinson TE. Hippocampal rhythmic slow activity (RSA; theta): A critical analysis of selected studies and discussion of possible species-differences. Brain Research. 1980; 203:69–101. pmid:6772282
  60. 60. Jutras MJ, Fries P, Buffalo EA. Oscillatory activity in the monkey hippocampus during visual exploration and memory formation. Proceedings of the National Academy of Sciences USA. 2013; 110:13144–13149.