Available online at www.sciencedirect.com

ScienceDirect

Neural maps for target range in the auditory cortex of

echolocating bats

1 1 1 2 2 3

M Ko¨ ssl , JC Hechavarria , C Voss , S Macias , EC Mora and M Vater

Computational brain maps as opposed to maps of receptor require less genetic information than other wiring

surfaces strongly reflect functional neuronal design principles. arrangements [2]. In addition, on a functional level,

In echolocating bats, computational maps are established that spatially restricted local neuronal interactions like lateral

topographically represent the distance of objects. These target inhibition can be implemented easily within a spatial

range maps are derived from the temporal delay between parameter gradient as provided by a map [3,4]. Within

emitted call and returning echo and constitute a regular a map, topological substructures like clusters or pin-

representation of time (chronotopy). Basic features of these wheels can be created to optimize local function [5].

maps are innate, and in different bat species the map size and As pointed out by Schreiner and Winer [6], map topo-

precision varies. An inherent advantage of target range maps is graphies and their connectional metric can also provide a

the implementation of mechanisms for lateral inhibition and stable basis for efficient functional transformations and

excitatory feedback. Both can help to focus target ranging dynamic remodelling during development, like changing

depending on the actual echolocation situation. However, head related transfer functions during head growth or



these maps are not absolutely necessary for bat echolocation neuromodulatory control of cortical plasticity [7,8 ].

since there are bat species without cortical target-distance

maps, which use alternative ensemble computation Unlike the visual or where import-

mechanisms. ant spatial relationships are already mapped on the re-

Addresses ceptor surface, spatial auditory information has to be

1

Institute for Cell Biology and , Goethe University, calculated de novo by comparing response properties of

Frankfurt, Max-von-Laue-Str. 13, 60439 Frankfurt, Germany

2 both ears and in some species is then represented in

Department of Animal and Human Biology, Faculty of Biology, Havana

midbrain auditory space maps [1]. In the forebrain such

University, calle 25 No. 455 entre J e I, Vedado, CP 10400, Ciudad de La

type of continuous spatial map is no longer prominent and Habana, Cuba

3

Institute for Biochemistry and Biology, University of Potsdam, Karl clustered types of representation prevail [e.g. 9]. This is

Liebknecht Str. 26, 14476 Golm, Germany also true for bat auditory cortex where clustered binaural

interactions [10] and a clustered representation of

Corresponding author: Ko¨ ssl, M ([email protected])

dynamic spatial receptive fields could be demonstrated

[11]. In the cortex of bats, there are computational maps

Current Opinion in Neurobiology 2014, 24:68–75 that contain target-relevant information extracted from

returning echoes [review: 12]. There are two major types

This review comes from a themed issue on Neural maps

of such maps: first, the delay (D) between emitted bio-

Edited by David Fitzpatrick and Nachum Ulanovsky

sonar signal and returning echo is mapped to derive target

For a complete overview see the Issue and the Editorial

range (R) with R = D*C/2 (C = sound velocity) (Figure 1).

Available online 17th September 2013

Within such a map individual are most sensitive

0959-4388/$ – see front matter, # 2013 Elsevier Ltd. All rights to a specific echo delay that is defined as the characteristic

reserved. delay (CD). In the mustached bat, Pteronotus parnellii, a

http://dx.doi.org/10.1016/j.conb.2013.08.016 widely used bat model for auditory processing, three

target distance maps have been demonstrated in the

FM-FM, dorsal fringe and ventral fringe (DF, VF) cor-



Introduction tical areas, respectively [13 ,14–16], second, relative

velocity between bat and object is mapped in form of

Sensory brain maps consist of topographically continuous

Doppler-induced echo frequency shifts [17]. In

neuronal representations of a certain stimulus feature.

to any other receptor-surface-dominated or compu-

Such a representation can already be generated at the

tational map, input into these maps is actively controlled

sensory surface and either reflects spatially continuous

by the animal through its echolocation signal emission.

sensory input or properties of sensory filtering along the

receptor surface like the cochlear hair cells. The other

type of map is computational in the sense that it is created Chronotopic target range maps in different

in the brain by extracting behaviourally relevant stimulus bat species

information [1]. For both types of maps, wiring optimiz- Target range maps were initially discovered by Suga,

ation and economy regarding projections between O’Neill and colleagues in the auditory cortex of the

mapped areas are an inherent advantage. In this sense, mustached bat P. parnellii by using passive auditory

a topographically ordered wiring of brain areas should also stimulation with pairs of frequency modulated (FM)

Current Opinion in Neurobiology 2014, 24:68–75 www.sciencedirect.com

Target range maps in echolocating bats Ko¨ ssl et al. 69

Figure 1

world long-CF–FM bat where the FM component which

is important for target range estimation is preceded by a

R = D*C/2 constant frequency (CF) component that is used by the

R = target range bat to exploit echo Doppler-shifts to derive information

D = echo delay on relative velocity. Velocity sensitive neurons are also

C = sound velocity arranged in form of a computational map (P. parnellii: CF–

CF area, see Figure 3; [17]). Remarkably, chronotopy has

evolved convergently both in old and new world bat

families. Rhinolophus rouxi, a bat species from the family

call Rhinolophidae that is widely distributed in the old world

possesses a target range map located in the dorsal auditory

cortex ([18], Figure 3). However, in the auditory cortex of

bats, that only employ FM biosonar signals, delay sensi-

echo tive neurons are not necessarily arranged in form of target



distance maps [19,20 ,21]. In Eptesicus fuscus they form

clusters that are located mainly within a high frequency

Current Opinion in Neurobiology

cortex region where cortical reverses ([21];

Figure 3). Only recently were target maps discovered



Echolocating bat that computes target range (R) from the echo delay (D). for a frugivorous FM bat, Carollia perspicillata [22 ] and

for the insectivorous short-CF–FM bat Pteronotus quad-



ridens [23 ]. Interestingly, in C. perspicillata, delay-sensi-

sweeps that mimic the FM components of echolocation tive neurons occur in dorsal high frequency areas and

signal and echo. Neurons that preferentially respond to a within a region where tonotopy reverses in primary audi-

specific echo delay (Figure 2: examples of delay tuning tory cortex, as in E. fuscus (Figure 3).

curves from different bat species) are arranged in approxi-

mately rostrocaudal direction such that neurons respond- It is still open if the presence of a short or long CF

ing to short echo delay and hence short target distances component in the echolocation signal and the accompa-

are represented more rostrally than neurons responding to nying added cortical computational complexity

long echo delays (Figure 3). The mustached bat is a new encourages the formation of a mapped target range pro-

Figure 2

(a) (c) (e) P. parnellii P. quadridens C. perspicillata 90 90 70

70 70 50 50 50

30 30

0 5101520 0 510152025 0 5101520 (b) (d) (f) 90 90 70

70

Echo-level [dB SPL] 70 50 50 50

30 30 30

0 5101520 0 5 10 15 20 25 0 5 10 15 20 echo-delay [ms]

Current Opinion in Neurobiology

Examples of receptive fields of delay-sensitive neurons in 3 bat species: P. parnellii, P. quadridens, and C. perspicillata. The stimulus consists of a pair

of FM sweeps separated by a specific delay that represents sonar pulse and echo. The call level is held constant at 70 or 80 dB SPL, the echo level and

delay are varied. Normalized neuronal response strength is color coded, red indicates maximal number of action potentials, the black line indicates

50% of maximal activity. The response area can be echo level invariant (a,c,e) or tilted (b,d,f). Tilt can provide for a certain amount of tracking of

approaching objects on a single basis (see text).

www.sciencedirect.com Current Opinion in Neurobiology 2014, 24:68–75

70 Neural maps

Figure 3

Rhinolophus rouxi FM-FM

100 AI

CF/CF 50 D R C frequency [kHz] 0 FA 25 ms V DF Pteronotus parnellii

100 FM-FM CF/CF 50 Ala Alp DSCF

frequency [kHz] 0 20 ms VF

Pteronotus quadridens

100 FM-FM

50

frequency [kHz] 0 2 ms

Carollia perspicillata FM-FM 100 HFII

AAF HFI 50 DP AlI

frequency [kHz] Al 0 2 ms

Myotis lucifugus

100 RA

50

frequency [kHz] 0 2 ms

Eptesicus fuscus AI primary auditory cortex AII secondary auditory cortex AAF anterior auditory field 100 CF/CF CF/CF area FM-FM FM-FM area FA fovea area DF dorsal fringe 50 DP dorsoposterior field DSCF doppler-shifted constant frequency field

frequency [kHz] 0 HF highfrequency field 2 ms 1 mm 1 mm RA rostral area VF ventral fringe

Current Opinion in Neurobiology

Current Opinion in Neurobiology 2014, 24:68–75 www.sciencedirect.com

Target range maps in echolocating bats Ko¨ ssl et al. 71

cessing area. However, the FM bat C. perspicillata has Emergent features within target distance

implemented a prominent target range map in the cortex. maps

There are no CF components in the call of C. perspicillata Neural processing to create delay tuning in P. parnellii

(Figure 3). This could suggest that chronotopy is a very appears largely complete at subcortical levels. The sharp-

basic feature at the root of the evolutionary tree of the ness of delay tuning (50% width) is similar in IC, MGB

sister groups of Phyllostomatidae, to which C. perspicillata and AC [15,26,35,37]. Furthermore, the range of CDs is

belongs, and the Mormoopidae with the genus Pteronotus similar in IC, MGB, and AC with an overrepresentation of



[see 23 ]. This hypothesis is strengthened by the pre- delays from 1 to 10 ms [15,26].

sence of chronotopic cortex organization in other phyl-



lostomids [24 ]. Cortical delay-tuned responses, on the other hand

have certain response features and show interactions

that are not yet present at lower levels and could have

Generation of cortical chronotopy been implemented with the help of a chronotopic

In bat species that have cortical chronotopy, the gener- gradient:

ation of echo delay maps takes place through spatial  Among those are a higher specificity regarding stimulus

sorting, and hence transformation of neuronal projections type in P. parnellii for FM stimulus pairs and less

from inferior colliculus (where there is no map, see below) responsiveness to single FM components or to pure



to auditory and cortex. tone stimuli than in the IC and MGB [14,27 ,37,38].

However, in this respect cortical delay-tuned neurons

The building blocks of cortical chronotopic maps are in C. perspicillata are clearly less specific and they all



delay-sensitive neuronal interactions occurring at subcor- respond vigorously to single pure tones [39 ].

tical levels. For P. parnellii it has been demonstrated that  Mechanisms of lateral inhibition and excitatory

facilitatory delay-sensitivity in the ascending auditory feedback that sharpen or shift response tuning are

system first emerges at the level of the central nucleus one of the major advantages of a map, and could be



of the inferior colliculus (ICc; [25,26, review: 27 ]). used to provide dynamic plasticity of receptive fields

Paradoxically, the main components of creation of facil- during learning or arousal [40]. There is ample

itatory delay-sensitivity in ICc are glycinergic inputs evidence from the work of Suga and colleagues on



[28,27 ]. In addition, the ICc inherits a delay-tuned plasticity of neuronal tuning both in tonotopic and in

inhibition from the intermediate nucleus of the lateral target range sensitive cortical areas in P. parnellii.

lemniscus (INLL), conveyed via an excitatory glutami- They showed that a combination of widespread lateral

nergic input [28–32]. Within the ICc, delay tuned neurons inhibition in the cortex and highly focused excitatory

are integrated in the tonotopic representation and are not feedback via projections to other cortical or sub-



arranged according to CD [33], and they also can be tuned cortical areas creates a self-organizing map [8 ,41].

to sound duration [34]. The tectothalamic projection Cortical neurons within this map that code beha-

creates spatially discrete assemblies of delay-tuned viourally important stimuli, can augment the activity

neurons in two regions of the rostral half of the medial of neurons with a similar, ‘matched’ CD in the target

geniculate body (MGB) that are organized according to area and also recruit additional neurons while activity

harmonic frequency bands (FM2, 3, 4). Furthermore, of unmatched neurons is reduced. For the intra-

there is a crude representation of characteristic delay in cortical interaction between the 3 target distance



MGB [35, for further references see 27 ]. maps, this type of ‘egocentric selection’ has been

demonstrated by local cortical electrical activation

Thalamocortical projections feed three discrete ranging [42–45]: The FM-FM area predominantly maintains

areas in AC of P. parnellii. The FM-FM-area and the VF a strong suppressive influence on unmatched

receive overlapping projections from rostral MGB derived neurons in the other two areas and on the

mainly from lateral parts, whereas the DF receives input contralateral FM-FM area. This suppression can

from medial parts [36]. Since there are massive cortico- also result in a shift of the CD of the unmatched

thalamic backprojections, the cortex could also imprint its neurons away from the CD of the FM-FM neuron

chronotopic organization onto its main input structure. So (centrifugal CD shift). In contrast, the DF and VF

far, specific functional roles have not been assigned to the areas have a mostly augmenting influence on

multiple delay representations. matched neurons in the FM-FM area. This can

Figure 3 Legend Target range maps in different bat species. Left: representative spectrograms of echolocation calls. Middle: brain overview with the

position of auditory cortex. Right: detailed view of chronotopic maps within auditory cortex. Target range computing areas are in blue, white arrows

give direction of representation of decreasing echo delay. Black arrows indicate increasing characteristic frequency in tonotopic areas. Please note

that in E. fuscus and M. lucifugus, delay-sensitive neurons are not arranged in a chrontopic map but are interspersed within the tonotopic cortex.

 

Cortex data are from Schuller et al. [18], Suga [12], Hechavarria et al. [23 ], Hagemann et al. [22 ], Dear et al. [21], Wong and Shannon [19]. Calls for R.

rouxi were kindly provided by D. Leipert, calls for M. lucifugus by B. Fenton, calls from E. fuscus by M. Gadziola.

www.sciencedirect.com Current Opinion in Neurobiology 2014, 24:68–75

72 Neural maps

shift the CD of matched neurons closer to the CD of specific delay but also to the specific temporal syntax of

the DF or VF neuron (centripetal CD shift). The syllables within communication sounds [50,51].

latter could produce a focussing on and sharpening

of tuning to short echo delays in the FM-FM area,

Chronotopic maps as interface to spatial-

since the mapped delay range in DF and VF is

memory, decision-making, and motor-control

restricted to shorter delays in comparison to the FM- systems?



FM area [see 8 ].

Chronotopic maps of target distance that, depending on

This form of self-organizing feedback interaction is a

the echolocation situation, plastically adjust to most

quite powerful general neuronal organization principle

relevant input features (see above) could also provide

and is also found in the interaction between cortex and

an efficient interface to other cortical processing systems.

ICc and MGB [46,47]. In general, the dominance of

Completely unknown is the transfer of spatial infor-

centrifugal plasticity could shape the selective neural

mation from target distance maps to hippocampal place

representation of a specific target distance and produce

cells that in bats have features comparable to those in

contrast enhancement. Dominance of centripetal 

rodents [52,53 ].

actions could result in strong clustering and expand

the representation of a selected specific target

A chronotopically organized target distance representa-

distance.

tion could provide an efficient interface to the motor

 In P. parnellii, P. quadridens, and C. perspicillata, a

system, in particular since there are target-distance

substantial proportion of cortical delay-tuned

specific behaviours. Most notable is the switch from

neurons, in particular those responding to longer

low call repetition rates during the approach phase of

delays at threshold have a tilted receptive field that

echolocation to high call repetition rates in the final

could allow a certain degree of target tracking

phase shortly before the insect is caught. The wing

 

(Figure 2, [39 ,23 ]). When the bat approaches its

control breaking behaviour close to obstacles (alarm

target, echo intensity increases due to decreasing

hypothesis, [18]) is also target-distance specific. Both

target-range. As a consequence, during the end stage

types of behaviour should be triggerable by short echo

of approach, only those neurons with appropriately

delays, and the above mentioned intracortical positive

tilted receptive field will continue to respond to

feedback systems that enhance activity to short echo

louder echoes at shorter delays. In this respect tilted

delays may be especially efficient for inducing those

receptive fields loose specificity in terms of static

behaviours. There are also specific reactions to conspe-

object distance but gain specificity in terms of

cifics if they fly close by [54].

responding to echo series that are typical for approach

to target — and may facilitate target tracking. We note

A chronotopic representation may also offer advantages

that some bat species reduce call intensity [48], and

for efficient input from decision-making systems. The

then this sort of tracking at the level of individual

neurons in the FM-FM area that respond both to

neurons would not work. For P. parnellii tilted

call-echo pairs of specific delay and to complex communi-

response areas are present in the FM-FM area but

cation signals may have input from auditory regions of



are not found in the IC [49 ]. They could be generated

frontal cortex [55,56]. It is still to be tested if frontal cortex

within the topographic gradient of the map if there is a

could initiate a switching between both processing modes

level-dependent asymmetry of input convergence or

in the FM-FM area.

input integration in cortical neurons.

 Map topography could also provide a more effective

But how are bats without target-distance

means to exert local and delay-specific gain regulation

maps coping?

by modulation through local GABAergic interneurons

In two insectivorous bat species that exclusively use FM

or external modulatory systems.

echolocation signals and that predominantly hunt in open

 Additional parameter representation: A 2D repres-

uncluttered space, target distance maps have not been

entation of a single parameter (echo delay) in principle

demonstrated. In E. fuscus (Figure 3) delay-sensitive

allows arranging additional axes orthogonal to the map

neurons are clustered mainly between two tonotopic areas

to represent/process other features. In the FM-FM and

and are interspersed with neurons sensitive to single pure

DF areas of P. parnellii, the three relevant frequency

tones. In M. lucifugus the cortical location of those neurons

bands of the echo harmonics (FM2, 3, 4) are separated

overlaps with tonotopically arranged neurons. The

and projected orthogonal to the delay axis [14,15]. Such

absence of a delay map in E. fuscus has inspired research-

a harmonic dissociation is not found in P. quadridens or

ers to develop an alternative model for cortical repres-

C. perspicillata and in R. rouxi there are no relevant

entation of target distance and acoustic scenes based on

multiple harmonics in the echo.

ensemble coding over a larger number of neurons

 Chronotopic maps could also serve non-target relevant   

[20 ,57,58 ,59 ]. It also has been demonstrated that

purposes: In P. parnellii, neurons in the FM-FM area

the population of cortical neurons tuned to echo-delay

not only respond well to FM pulse-echo pairs of

could integrate information from objects with different

Current Opinion in Neurobiology 2014, 24:68–75 www.sciencedirect.com

Target range maps in echolocating bats Ko¨ ssl et al. 73

space-depths for the formation of acoustic images. The References and recommended reading

Papers of particular interest, published within the period of review,

latter mechanism can manage a quite powerful processing

 have been highlighted as:

of realistic echolocation call/echo sequences [59 ] and it

could also be present in the cortex of bat species that have  of special interest

 of outstanding interest

a delay map [60]. Therefore, at present there is still an

open discussion if delay maps are strictly necessary for

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